Job Description

Job Title: Financial Engineer IV
Job Location: Washington, DC


  • Work on a new regulatory reporting application
  • Play a leading role in the development of the next generation regulatory reporting
  • Work closely with the business users and develop prototypes and technical solutions and work with the analytics and development team to deliver solutions that meets/exceeds the business needs
  • Use advanced mathematical, analytical, or econometric tools to create algorithms that will be used in analytical or product development processes
  • Develop or refine computer applications that provide deeper analysis of prospective asset performance, asset pricing, new asset classes, or information needed to measure or hedge risk
  • Provide ongoing analysis of new products or asset classes and suggest program modifications as necessary
  • May test applications for accuracy and functionality before putting them into service
  • Collaborate with team members to formulate innovative solutions for regulatory reporting applications
  • Work in a dynamic environment with emphasis on continuous learning and focus on innovative ideas and teamwork
  • Analyze large data sets using data mining methods to search for patterns in data to discover data improvement opportunities
  • Confer with product managers, marketing staff, capital market staff, or business unit management to determine analytical or product-related needs regarding product, investment instrument, market activity, or complex transaction to be analyzed
  • Use one or more analytical tools from a suite of mathematical/application tools to perform appropriate analysis on specified product, transaction, market activity, or investment vehicle that has multiple variables affecting potential outcomes
  • Report in quantitative manner on parameters of proposed purchase, sale, marketing action, structure of transaction or market activity, or risk factors and the degree to which they could affect outcomes
  • Participate with product management, treasury, or capital markets staff in exercises to value derivatives or other complex products, or to revise models used to perform these valuations
  • Perform loss forecast analysis and reporting
  • Perform ongoing ad hoc development and analysis for specific clients needing high level quantitative analysis of credit risk, product valuation, asset analysis, and the like
  • Design test cases and test applications for systems used for a variety of analytical, pricing, risk management, or credit pricing to ensure the business needs are met and analytics are correctly implemented
  • Redefine and implement the components of new risk indicators
  • Consult with the business owners, design and implement an interface to record key indicators, research industry best practices of analyzing, and reporting key performance indicators
  • Provide technical guidance or consultation to less senior staff
  • Serve as technical lead on projects to develop more accurate or refined analytical applications used in pricing, valuation, risk assessment, and the like

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, Physics, Statistics, or related area of study
  • Six+ years of related experience
  • Understanding of RDBMS and ETL
  • Experience with Database design and Database application development
  • Experience working with AWS, Spark SQL, Spark ML, Oracle, Netezza, Sybase, and SAS
  • UNIX shell scripting experience
  • Excitement to analyze large data sets and work on large data problems
  • Programming ability in SQL and at least one of C/C++, Java, R, and Python
  • Experience with SDLC
  • Requirements/solutions specification documentation
  • Ability to communicate abstract concepts and data analysis results with business users and regulators
  • Creative and self-motivated, excellent analytic and problem-solving skills
  • Ability develop proficiency in new skills rapidly
  • Strong technical writing and communication skills
  • Excellent interpersonal skills and team player

Preferred Qualifications:

  • Master's degree in Computer Science, Engineering, Physics, Statistics, or related area of study
  • Eight+ years of related work experience

QBH#: 2322

Application Instructions

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