Financial Engineer Salary in New York, NY

Datasite is where deals are made. We provide the data rooms and SaaS technology used in M&A and other high-value transactions, to deliver projects in more than 170 countries. Carrying that success into the future is all about you. Your useful skills, your unusual experience, your unique ideas. Everyone here brings something unexpected. What's yours? Invest your talents in us, and we'll return the compliment.Job Description:Datasite's Sales Engineering team provides pre-sales support for the Datasite platform. Our focus is on leading technical sales efforts, working alongside the Datasite Sales team to present solutions that bring value to Datasite customers. We are looking for a Sales Engineer to join our growing team, in this role you will be the technical product expert working in close partnership with our Sales Directors, Product Management and Engineering teams to bring new products to market.Essential Duties and Responsibilities:Sales ProcessThe Datasite Sales Engineer is a critical part of the sales process at Datasite. You will work in conjunction with the sales team as a key technical advisor and advocate for Datasite SaaS solutions while continuously improving the conversion rate from qualified opportunities to successful wins.Sales Activities include:Collaborate with sales representative to gain an understanding of the client's situation and why they have interest in Datasite.Lead Discovery sessions into customers current environment and processes and be able to identify pain points and help determine how the Datasite Platform can remove those issues.Facilitate user workshops to provide a hands-on experience of the Datasite tools, use these interactive sessions to build awareness of the Datasite platform and help close business fasterDeliver customized software demonstrations and technical sales presentations to existing customers as well as pre-qualified prospects via web-based delivery or on-site meetings.Research, compose, and deliver responses to RFPs while interacting with clients to clarify requirements and review RFP responses for technical accuracy.Explain product capabilities, limitations, and implementation requirements and describe technical tradeoffs and implementation alternatives while balancing revenue opportunities.Product PartnershipThe Sales Engineer is both the external and internal product advocate at Datasite. Sales Engineers are part of the team bringing new products and capabilities to market which requires us to have strong relationships the product organization and be their voice in the field with customers both updating customers on new solutions and taking customer feedback into the product teams.Partner with Sales Operations and Marketing Teams to develop and promote Datasite suite of services to best align our resources in the marketplace to generate leads.Responsible for explaining and researching the technical capabilities of Datasite's products vs. our competition and communicating this to both internal and external audiences.Promote and lead team meetings with Operations and Product Development Teams to share client experiences and coordinate possible enhancements to the platform and/or the process.Responsible for researching, organizing and documenting the competitor products and services to ensure that Datasite maintains a competitive balance in the marketplace.Work with Sales Support Team to help prepare and participate in training programs for sales representatives.Minimum EducationBA or BS Business Administration, Computer Science, or other related fieldsMinimum ExperienceMinimum 5 years' experience in technical services with emphasis on direct client contact and consulting and sales support.Working with Business development & sale executives to help qualify new sales leads, educate prospects, and an overall end-to-end understanding of complex customer solutionsExperience working with clients from M&A, Capital Markets & Legal ecosystemsThe ability to present technical concepts in a confident engaging mannerExperience with technical requirements of a SaaS implementation including SSO, IAM and APIsAdditional RequirementsExceptional communication and presentation skills, both written and verbal.Executive presence, ability to interact with internal and external clients and comfort with presenting to C-level executives.Working knowledge of security requirements of SaaS solutions in financial, legal, private equity and corporate communitiesAbility to appropriately direct efforts of diverse internal and external groups to achieve required resultsUnderstanding of change management techniques related to impact of deploying new softwareDemonstrated project management experience with a high level of attention to detailWillingness and ability to travel during sales cycles, often with minimal notice (30-50%)As a global organization, Datasite knows that diverse perspectives are essential to our success. We're committed to maintaining a diverse workforce to serve our customers around the world. Datasite is an equal opportunity employer (EEO) and furthers the principles of EEO through Affirmative Action.

DESCRIPTIONAd Catalyst is part of Advertiser Experience organization within Amazon Worldwide Advertising. Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. The Advertiser Experience (AX) organization owns the experience of the advertiser from the moment they decide to engage with our platform through the full lifecycle of self-service advertising management. Ad Catalyst Team enables Advertisers to get most growth by providing them with science-backed ML generated guidance at-scale by connecting retail, advertising and marketing signals. We are looking for an experienced data engineer with a track record of delivering high quality big data pipelines using AWS distributed architectures (e.g., Glue, S3, Spark, EMR, Airflow) and is a great team player who is skilled in stakeholder management. You will be working closely with cross-functional teams (science and SDE) to build robust data pipelines, optimize data processing systems, and deploy machine learning models that power our advertiser facing solutions. This role offers a unique opportunity to contribute to the intersection of data engineering and machine learning in a dynamic and collaborative environment. Your contributions will directly lead to enhanced site wide performance, growth in ad products, innovative new experiences, faster execution for engineering teams, and increased success of Amazon’s fastest growing business. Strong candidates for this role will have strong problem-solving skills with a keen attention to detail in designing and optimizing data processing pipelines, ability to collaborate effectively with cross-functional teams, excellent communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. If you enjoy working and growing high performance teams, being part of a rapidly growing business, and inventing creative solutions to complex problems, this role is for you! We are open to hiring candidates to work out of one of the following locations:New York, NY, USAKey job responsibilities* Design and implement scalable data pipelines for collecting, processing, and storing large volumes of data* Collaborate with data scientists, software engineers, and domain experts to evaluate, gather and process data for model training* Work closely with scientists to integrate machine learning models into production pipelines* Develop and implement data quality and validation processes to ensure accuracy and reliability* Optimize and fine-tune models for performance, scalability, and efficiency.* Work closely with SDE teams to design data solution for API use* Bar raising the operational excellence of data engineer practiceWe are open to hiring candidates to work out of one of the following locations:New York, NY, USABASIC QUALIFICATIONS- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets- Proven experience to contribute to the development of operational processes for efficient data model deployment and maintenancePREFERRED QUALIFICATIONS- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)- Experience providing technical leadership and mentoring other engineers for best practices on data engineering- Experience in popular machine learning frameworks such as TensorFlow, PyTorch, or scikit-learnAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,700/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.

Provide technical assistance and support for incoming queries and issues related to computer systems, software, and hardware. Troubleshoot and resolve problems with desktop computers, laptops, printers, and other peripherals.Install, configure, and upgrade operating systems and software applications. Set up and maintain user accounts, permissions, and passwords. Perform routine maintenance tasks such as applying patches, updates, and antivirus software to ensure systems are secure and up-to-date. Monitor system performance and conduct regular backups. Diagnose and resolve technical problems and escalate issues to appropriate personnel when necessary. Analyze system logs and identify potential issues proactively. Maintain accurate records of support requests, repairs, and solutions provided. Document procedures and guidelines for troubleshooting common technical issues.MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.Level 2 or level 3 helpdeskDesktop Engineer who can help set up, and profile machines, and someone that is willing to move equipmentSet up new laptops - update with windows, MS Teams, ect.Desktop imaging SCCMFinancial Service experience is a plus!

DESCRIPTIONAmazon Advertising is looking for a motivated Business Intelligence Engineer with strong technological, analytical, and business intelligence skill sets and experience to join the Advertising Product Finance team supporting the Audio and Devices advertising businesses.This position will be responsible to develop and managing large, complex datasets that are both scalable and easily accessible. This candidate will be comfortable with ambiguity and a self-starter who seeks requirements for major business initiatives, and will be an essential team member that can articulate insights using the data. The candidate should enjoy diving into data, automating or building new data-driven reporting mechanisms, and recommending or implementing solutions to facilitate financial and business metrics reporting.As you further your career as a Business Intelligence Engineer at Amazon, you will focus on improving corporate reporting frameworks and data visualization. You will analyze performance data, discover and solve real-world problems and build metrics and business cases to improve decision making. You can expect to leverage your analytical skills and have full ownership of your projects.Key job responsibilitiesAs a Business Intelligence Engineer, you create insightful recommendations by applying your data science, analytical and business skills to complex problems. You use will use insights to challenge, guide and illuminate our product strategy, which directly influences what we build for customers. Data-driven decision-making is at the core of Amazon’s culture and this role will have a direct impact on the decisions and strategy of the Finance Data Analytics team.- Design, implement, and support a platform providing secured access to large datasets- Interface with Business, Finance and Accounting customers, gathering requirements and delivering end-to-end BI solutions- Model data and metadata to support ad hoc and pre-built reporting- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation- Tune application and query performance using profiling tools and SQL- Analyze and solve problems at their root, stepping back to understand the broader context- Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets- Triage many courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgmentA day in the life- Work with stakeholders to understand and design solutions on major projects- Seek opportunities to streamline existing Finance manual process and automate using BI technology- Attend team standup to go over existing development, blockers and help troubleshoot issues- Continue to adopt new technologies that benefits business. Examples: linear regression model, serverless automation, big data processing and system integrations.About the teamThe APM advertising product finance team directly supports Amazon Device, Audio, and Video advertising demand-side platform (DSP) product teams. We also act as internal partners to support and drive our ad sales and supply teams. Our focus is to accelerate top-line revenue and improve profitability by evaluating overall ad supply monetization and utilization, product feature or sales package adoption, campaign performance, and other various product drivers of growth.We are open to hiring candidates to work out of one of the following locations:New York, NY, USABASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience writing complex SQL queries- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingPREFERRED QUALIFICATIONS- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $79,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.

Our client, is a leading quantitative investment company focused on computer-driven trading in global financial markets. We are a team of researchers, engineers, and financial industry professionals using sophisticated statistical models to analyze data and identify predictive signals to generate superior investment returns. Our investment teams each focus on their independent strategies while utilizing the firm's proprietary, state-of-the-art technology and data platform to optimize their alpha research.They have an opening for a Data Engineer.In this role you will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection. You should be experienced in building data pipelines and building data systems from the ground up. This individual will support our quantitative developers, data modelers, architects, and data owners across various data initiatives, and ensure an optimal and consistent data delivery architecture. You should be self-directed and comfortable supporting the data needs of multiple teams, and be prepared to be onsite 4 days a week. This is a DIRECT-HIRE FTE role. No consultants, C2C or ContractorsRoles • Design, construct, test and maintain data architectures and data pipelines.• Ensure our data architecture supports the requirements of the business.• Develop custom data models and algorithms to apply to data sets.• Assess the effectiveness and accuracy of new data sources and data gathering techniques.• Discover opportunities for data acquisition.• Develop data set processes for data modeling, mining, and production.• Employ a variety of languages and tools to marry systems together.• Recommend ways to improve data reliability, efficiency, and quality.• Leverage large volumes of data from internal and external sources to answer business demands.• Introduce automation through effective metadata management and using innovative and modern tools and techniques. Partially or completely automate the most common and repeatable data preparation and integration tasks.• Propose appropriate data ingestion, preparation, integration, and operationalization techniques in addressing data requirements.• Lead the development of data governance policies and best practices for consumers and users of data we provision.• Coordinate with different functional teams to implement models and monitor outcomes; and develop processes and tools to monitor and analyze model performance and data accuracy.Skills:• Expert skills in the use of Python.• Significant experience in the development of new automation of data feeds and pipelines• Experience in supporting all kinds of data sets in various formats, structured or unstructured.• Knowledge and/or certifications on upcoming NoSQL/Hadoop-oriented databases like MongoDB, Cassandra, and others for non-relational databases.• Experienced working with large, heterogeneous data sets in building and optimizing data pipelines, pipeline architectures and integrated datasets using traditional data integration technologies;• Experienced working with popular data discovery, analytics and BI software tools such as Tableau, Power BI and others• Experienced working with data governance/data quality and data security teams.• Experienced employing Microsoft MDM (Master Data Management) and MDS.• Ability to troubleshoot complicated issues across multiple systems and driving solutions.• Effectively convey technical concepts to non-technical individuals.• Demonstrate a high level of Data Security Awareness; and• Experience with financial and or legal industry data is a plus.Qualifications:• A Bachelor's or Master's Degree in Computer Science, Statistics, Applied Mathematics, Data Management, Information Systems, Information Science or a Related quantitative field or equivalent work experience;• At least five years' experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.• At least three years' experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental and/or multi-departmental data management and analytics initiative.• Excellent communication and collaboration skill• Excellent problem solving and analytical skills.• Must be highly effective within a collaborative environment; and• Must be able to independently resolve issues and efficiently self-direct work activities based on the ability to capture, organize, and analyze information.Compensation: $120,000 - 175,000 base salary, plus incentives and an excellent benefits package.Applicants must be authorized to work for any U.S. employer.Staff Smart, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, genetic information, disability status, or any other characteristic protected by law.

For more Job Opportunities follow FINTRUST CONNECT here: FinTrust Connect: Jobs | LinkedInShare Your Resume and Build Your Future! ????We're thrilled to invite you to join our exclusive Talent Community!Are you looking for your next career opportunity?Look no further - join our Talent Network today! By sharing your resume with us, you'll be added to our database and considered for future roles with leading companies in your industry. Whether you're seeking flexible work arrangements, remote opportunities, or traditional office-based roles, we have options for you.Take the first step towards a brighter future - share your resume with us today!As a Cloud Engineer you will play a crucial role in driving the transformation of our partners' infrastructure to the cloud. This exciting opportunity offers the chance to work at the intersection of finance and technology, leveraging cutting-edge cloud solutions to enhance operational efficiency, scalability, and security.Requirements:Bachelor's degree in Computer Science, Information Technology, or a related field; relevant certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect) preferred.Proven experience in cloud engineering roles, with a focus on designing, implementing, and managing cloud infrastructure for banking or financial services organizations.In-depth knowledge of cloud computing principles, platforms (e.g., AWS, Azure, Google Cloud), services (e.g., IaaS, PaaS, SaaS), and architectural best practices.Strong understanding of banking and financial services regulations, compliance requirements, and security standards (e.g., PCI DSS, GDPR, SOX).Hands-on experience with cloud automation and orchestration tools (e.g., Terraform, Ansible, Kubernetes) and scripting languages (e.g., Python, PowerShell).Excellent analytical and problem-solving skills, with the ability to troubleshoot complex technical issues and implement effective solutions.Strong communication and interpersonal skills, with the ability to collaborate effectively with technical and non-technical stakeholders.Ability to work independently and manage multiple projects simultaneously in a fast-paced, agile environment.Key Responsibilities:Design, deploy, and maintain cloud-based infrastructure solutions for banking and financial services applications, ensuring high availability, performance, and security.Collaborate with cross-functional teams to assess business requirements and design cloud architectures that align with organizational goals and compliance requirements.Implement and optimize cloud-based services, including compute, storage, networking, and security, to support critical banking operations and customer-facing applications.Automate deployment, configuration, and monitoring tasks using Infrastructure as Code (IaC) tools and cloud-native orchestration platforms.Monitor cloud infrastructure performance and security, proactively identify and resolve issues, and implement best practices for cost optimization and resource utilization.Implement and manage cloud security controls, including identity and access management, data encryption, and compliance monitoring, to protect sensitive financial data and mitigate cyber threats.Stay current with emerging cloud technologies, industry trends, and regulatory developments, and provide recommendations for continuous improvement and innovation.

Moody's is a developmental culture where we value candidates who are willing to grow. So, if you are excited about this opportunity but don't meet every single requirement, please apply! You may be a perfect fit for this role or other open roles.Moody's is a global integrated risk assessment firm that empowers organizations to make better decisions.At Moody's, we're taking action. We're hiring diverse talent and providing underrepresented groups with equitable opportunities in their careers. We're educating, empowering and elevating our people, and creating a workplace where each person can be their true selves, reach their full potential and thrive on every level. Learn more about our DE&I initiatives, employee development programs and view our annual DE&I Report at moodys.com/diversityIn this role, you will be a part of the team that supports our clients in their usage of the Moody's Analytics credit and market risk management and valuation technology. This is an opportunity to develop your career in Financial Services by using world-class software. You will obtain a broad knowledge of credit and market risk by assuring that our products, financial models and technology are being used effectively to add value to our clients' businesses.Responsibilities: Understand and explain complex financial models on conceptual, intuitive, and practical levels.Provide thorough quantitative and conceptual solutions to our wide range of clients.Provide in-depth education and assistance on product features, functionality and the product technical architecture.Support clients on the use of our industry leading credit risk products in a courteous, professional, accurate and timely manner via web, email, telephone, and in person.Communicate effectively and develop excellent working relationships with colleagues within Client Service and in partner teams such as Engineering, Research, etc.Provide constructive feedback to the sales and training groups regarding client needs and opportunities.Identify, capture, and channel client feedback on product features and functionality to our Product Managers.Originate content for our client Knowledge Base.Manage and escalate requests appropriately while maintaining ownership of the client interaction and delivery solution.Qualifications: Bachelor's degree required; concentration in computer science, finance, or accounting a plus. Master's degree in Quantitative Finance, Financial Engineering or Business Administration is a plus.Basic knowledge of SQL Server and/or Oracle a plus. Knowledge of financial statements is a plus. Strong customer service skills, an eagerness to excel and be part of a dynamic, fast growing team. Superb analytical skills and persistence in problem solving. Attention to detail and the ability to learn quickly. Excellent verbal, written, and organizational skills. Demonstrated creativity, flexibility, enthusiasm and willingness to learn. Working knowledge of Windows based software (Excel, Access, Word, etc.). Exposure to the financial industry, banking and/or capital markets is a plus.For US-based roles only: the anticipated hiring base salary range for this position is $65,000 - $94,250, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody's also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Moody's also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email [email protected]. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement. Click here to view our Notice to New York City Applicants.Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.Moody's Corporation is a Government contractor subject to the Vietnam Era Veterans' Readjustment Assistance Act of 1974, as amended by the Jobs for Veterans Act of 2002, 38 U.S.C. 4212 (VEVRAA), which requires Government contractors to take affirmative action to employ and advance in employment: (1) disabled veterans; (2) recently separated veterans; (3) active duty wartime or campaign badge veterans; and (4) Armed Forces service medal veterans.VEVRAA Federal ContractorWe Request Priority Protected Veteran and Disabled Referrals for all of our locationsPlease contact Donna Hutchinson, Assistant Vice President, Talent Attraction for any questions regarding this listing.PDN-9bd77660-718c-44de-a734-e3065047a19b

Moody's Analytics is a leading provider of structured finance data, cashflows, and analytics. We develop, maintain, and deliver complex analytical solutions for a highly demanding global clientele. Our clients include assetmanagers, insurance companies, banks, government entities, issuers, and educational institutions, and investment advisers. We are a global teamof over 250 highly skilled professionals with expertise in areas of structured finance,data management/governance, software development, project management, and product management. We are a fast-paced customer success team for supporting award-winning product suites. This is a great opportunity for someone who is interested in applying their analytical and technical skills to build and support solutions for various segments of the structured finance markets. Within the first 6 months, you will get to learn aboutthe fundamentals of various structured finance asset classes such as Consumer ABS, CLOs, and CMBS. You will also learn about a range of products such as Web Portal, Data Feeds, APIs, Desktop Products, and various Excel/Python-based solutions that we manage and support for our customers. We strongly believe in learning by doing models, so, we will expect you to assist with various technical/analytical client support and product management tasks of increased complexity while acquiring a good understanding of our business. You willbe taking part in the design and integration of new features, and assisting our clients in meeting their overall structured finance technology, model, and data needs. Our products are constantly recognized as best-in-class by a variety of industry publications. Below is a list of accolades our products have received in the past two years. Chartis RiskTech100 2024: Credit Data - CLOChartis QuantTech50 2023: Collateralized Loan Obligations (CLOs)RegTech Insight Awards Europe 2023: Best Solution for Buy-Side Regulatory ComplianceRegTech Insight Awards APAC 2022: Best Buy-Side Regulatory Data SolutionGlobalCapital US Securitization Awards 2022: Securitization Data Provider of the YearRole/Responsibilities: Reverse Engineer Structure Finance transactions utilizing Moody's structured finance APIs and cashflow enginesAssist senior members of the team in supporting and training clients on software applications and safe delivery/implementation of structured finance APIs. Assist in the release of refined data sets to internal/external clients and downstream processes.Help to develop detailed customer installation and/or system integration plans for a wide variety of financial institutions using our analytics and data APIs.Brainstorm, design and develop an enterprise software productCreate technical design documents and present the details to a larger audienceWork collaboratively with a global team of project managers, developers, andbusiness analysts Participate in architecture and design reviews for projects that require complex technical solutionsPerform gap analysis and provide business solutionsMay require to build cashflow models and perform performance data updatesfor Structured Finance transactions using the proprietary software platform.Assist with special projectsSome travel is required.Qualifications : Bachelor's degree in Finance, Engineering, Computer Science, Statistics, Economics, Operations Research, or related field. A Master's degree is preferred1-2 years of working experience, preferably in the structured finance industryWorking knowledge of API wrappers using C++, Python, C#, and Java or other scripting or coding languages required. Familiarity with API protocols and standards like REST, SOAP, or GraphQL, and understanding of their applications in different contexts.Strong problem-solving skills - Debugging issues related to API integration toidentify problems, isolate the cause, and implement effective solutions.Familiarity with API development tools and platforms such as Postman, Swagger, or Apigee.Knowledge of Relational and NoSQL databases is a plusAbility to learn quickly and work independentlyExcellent written and verbal communication skillsHigh attention to detail with excellent organizational and analytical skills and the ability to handle multiple projectsPrior working experience of Intex and/Or Trepp APIs or product suites a plusMoody's Corporation is a Government contractor subject to the Vietnam Era Veterans' Readjustment Assistance Act of 1974, as amended by the Jobs for Veterans Act of 2002, 38 U.S.C. 4212 (VEVRAA), which requires Government contractors to take affirmative action to employ and advance in employment: (1) disabled veterans; (2) recently separated veterans; (3) active duty wartime or campaign badge veterans; and (4) Armed Forces service medal veterans.VEVRAA Federal ContractorWe Request Priority Protected Veteran and Disabled Referrals for all of our locationsPlease contact Donna Hutchinson, Assistant Vice President, Talent Attraction for any questions regarding this listing.PDN-9bd77660-8edd-4a9e-936b-33594c343b43

RESPONSIBILITIES:Kforce's NYC-based financial services client is looking to add a Data Engineer to their team. Responsibilities: Work on migrating applications from an on-premises location to the cloud service providers The Data Engineer will develop products and services on the latest technologies through contributions in development, enhancements, testing and implementation Develop, modify, extend code for building cloud infrastructure, and automate using CI/CD pipeline Partners with business and peers in the pursuit of solutions that achieve business goals through an agile software development methodology Perform problem analysis, data analysis, reporting, and communication Work with peers across the system to define and implement best practices and standards The Data Engineer will assess applications and help determine the appropriate application infrastructure patterns Use best practices and knowledge of internal or external drivers to improve products or servicesREQUIREMENTS: Expert-level understanding of Agile, SDLC, CI/CD, DevOps; GitOps, and ProdOps is required Expert-level experience in data architecture, data types/formats, optimizing code and ETL jobs, data architecture, data modeling, data contracts - a key requirement for successful collaboration with data architects and visualization developers Expert-level professional hands-on experience in extensible data pipeline development using Databricks, Alteryx, AWS Glue and Lambda functions Expert-level professional hands-on experience with RDBMS, ETL scripting tools and IDEs, data pipeline development, and management using orchestration/monitoring tools Expert-level knowledge and experience in implementing software engineering security best practices and contributing to design/engineering for DevSecOps Expert-level experience with master data management strategies, rules-based engines, and tools for multi-stage data correlation on large data sets Experience managing deployment and leading the release of code to production Expert-level understanding of data visualization tools and requirements for business customers Expert-level experience working in agile setting or being an agile best-practice mentor Expert-level experience working in Jira, confluence, and contributing to engineering team documentation/playbooks Proven experience influencing and partnering with product management, Product Owners in translating business requirements into data and engineering specifications Expert-level expertise in SQL, Python, Scala or similar; Other object-oriented programming experience a plus The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

West Creek 1 (12071), United States of America, Richmond, VirginiaSenior Lead Software Engineer - Full StackDo you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Team Info: Our Card Customer Resiliency team is looking for a senior lead software engineer . Customer Resiliency is where excellence meets empathy! With human-centric approaches and analytical rigor, we generate value for our business and help our customers struggling with debt succeed. As a Senior Lead Engineer at Capital One, you will apply your engineering skills and experience on large scale and complex issues that will positively impact our customers and have a direct effect on Capital One's bottom line. What You'll Do: Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the companyShare your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate codeCollaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowermentUtilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications:Bachelor's DegreeAt least 8 years of experience in software engineering (Internship experience does not apply)At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: Master's Degree9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go4+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service4+ years of experience in open source frameworks1+ years of people management experience2+ years of experience in Agile practices Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Software EngineerCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to [email protected] One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).