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Capital Markets Risk Technology - Data Strategy

Company: Wells Fargo Bank
Location: New York
Posted on: April 10, 2021

Job Description:

Job Description
Important Note: During the application process, ensure your contact information (email and phone number) is up to date and upload your current resume when submitting your application for consideration. To participate in some selection activities you will need to respond to an invitation. The invitation can be sent by both email and text message.-In order to receive text message invitations, your profile must include a mobile phone number designated as -Personal Cell- or -Cellular- in the contact information of your application.-At Wells Fargo, we are looking for talented people who will put our customers at the center of everything we do. We are seeking candidates who embrace diversity, equity and inclusion in a workplace where everyone feels valued and inspired.Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.Technology sets IT strategy; enhances the design, development, and operations of our systems; optimizes the Wells Fargo infrastructure; provides information security; and enables Wells Fargo global customers to have 24 hours a day, 7 days a week banking access through in-branch, online, ATMs, and other channels.Our mission is to deliver stable, secure, scalable, and innovative services at speeds that delight and satisfy our customers and unleash the skills potential of our employees.The Capital Markets Risk Technology Data Strategy Team (CMRTDS) provides business solutions to support Enterprise Market and Counterparty Risk (MCRM) and other Risk teams. CMRTDS works with its business partners in identification, measurement, aggregation and reporting of Financial Risk across the firm. The department works closely with the lines of business to ensure that risks are being appropriately managed within the defined risk appetite for the firm. The Risk systems perform valuation, simulation, aggregation and reporting of risk metrics and models on all simple (bonds) and complex (structured products, derivatives) security products. Team members will work with advanced mathematical models, theoretical pricing, statistical and stochastic models, VaR (Value at Risk), PFE (Potential Future Exposure), IMM (Internal Model Methodology), and stress. The Risk systems are comprised of intraday and overnight batch processes that handle staging for all trading position data and market data required for risk modeling as well as making this data available to the various risk valuation systems. Quantitative models and reporting support trading activities as well as regulatory and business reporting requirements.-A key component of the enterprise data transformation strategy is the introduction of the Enterprise Data Environment (EDE) and the adoption and development of Data Nexus application for enterprise business functions including Market Risk (MR) and Counterparty Credit Risk (CCR). To support MCRM future state objectives and alignment to the strategy will require build out of solutions to source, integrate and distribute Transaction/Position Data, Financial Data, Market Data, Reference Data, Security Master, Customer/Counterparty Data, Collateral Data; integration of data into Pricing, Valuation models; calculation of Risk Measures and supporting - Capital Calculations, Stress Testing, Limit Monitoring, Risk and Regulatory reporting. --The position is for a CMRT Data Strategy Senior Software Engineer to lead analysis, design, and development of risk platform enhancements aligned to the data strategy and target state architecture. The role is responsible for analyzing/interpreting the Data Modernization strategy across impacted disciplines, and developing and implementing best-of-class data solutions. The role also includes responsibility for partnering with Business and Technology in support of formalization of business requirements, translation of business requirements into detailed technical requirements, and management of Agile-based workstreams via use of Jira.-As such, the Candidate will require knowledge in the capital markets domain specifically in risk disciplines such as Market and Counterparty Credit Risk.-The successful candidate will have experience working on design, development, and implementation of the large data platforms for operational and analytics use cases utilizing the Agile methodology.Experience working with senior stakeholders across - Risk, FO, Data Management, and Technology and working in a matrix environment with cross functional teams - PMO, Enterprise Architecture, Development, QA, Engineering etc.The work location is New York, New York. Preference will be given to those candidates that either currently live in or are willing to relocate to New York, New York with no relocation assistance.

Required Qualifications

  • 10+ years of software engineering experience
  • 7+ years of experience in one or a combination of the following: securities, quants, artificial intelligence, or machine learning
  • A BS/BA degree or higher
  • 5+ years of Agile experience
  • 5+ years of SQL experience
  • 5+ years of Python experience
  • 5+ years of capital markets experience
  • 5+ years of change management experience
  • 5+ years of data analysis experience
  • 5+ years of data management experience
  • 5+ years of database experience
  • 7 + years of experience gathering business requirements from various sources including end-users and stakeholders
  • 5+ years of experience leading the requirement design process with both technical and business partners
  • 5+ years of experience analyzing requirements and designing new solutions for application and database components

    Desired Qualifications
    • A Masters degree or higher in computer science or finance
    • A professional certification in technology
    • Basic knowledge of industry regulations related to building technological solutions
    • Knowledge and understanding of quantitative analysis and modeling of financial products
    • Knowledge and understanding of risk management or quantitative modeling
    • 5 + years of SQL Server SSIS, SSRS and SSAS experience
    • Quantitative or qualitative data analysis experience
    • Experience communicating models and integration strategies with a quantitative development team
    • 5+ years of of MySQL experience
    • Knowledge and understanding of data trade data management for reporting and quantitative analytics
    • Knowledge and understanding of risk measures and calculations ( dv01, delta, vega, gamma)


      All offers for employment with Wells Fargo are contingent upon the candidate having successfully completed a criminal background check. Wells Fargo will consider qualified candidates with criminal histories in a manner consistent with the requirements of applicable local, state and Federal law, including Section 19 of the Federal Deposit Insurance Act.

      Relevant military experience is considered for veterans and transitioning service men and women.
      Wells Fargo is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation.

      Benefits Summary
      Benefits-Visit -for benefits information.

Keywords: Wells Fargo Bank, New York , Capital Markets Risk Technology - Data Strategy, IT / Software / Systems , New York, New York

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