Vice President; Risk Management Sr. Specialist

Bank of America Bank of America · Banking · New York, NY

This role focuses on risk management within a financial institution, involving the development of analytical techniques, independent analytic capabilities, and the creation of risk calculators using Python and SQL. It requires experience in data querying, analysis, automation, report generation, and data visualization tools like Tableau and Alteryx.

What you'd actually do

  1. Developing research and analysis techniques for a forward-looking view of financial risks in coordination with the EFR managers, including participating in 2nd line risk assessments and working groups with Treasury (to understand financial risk drivers).
  2. Establishing independent analytic capabilities to help address MRIA, MRA and auditing issues effectively.
  3. Partnering with Treasury to develop ad hoc management scenarios and sensitivity analysis of liquidity, interest rate, and capital risks; including developing sensitivity tools and monitoring.
  4. Analyzing underlying drivers of financial risks through both actual and modelled stress flows of liquidity, capital, and NII.
  5. Developing capital Risk-Weighted Assets calculators using Python and SQL.

Skills

Required

  • Bachelor's degree or equivalent in Statistics, Computer Science, Engineering (any), or related
  • 5 years of progressively responsible experience in the job offered or a related Quantitative occupation
  • Utilizing complex database systems for data querying and analysis
  • In-depth examination of datasets and critical insights into financial performance
  • Programming languages including SQL, Python and Excel-VBA for process automation and report generation
  • Data visualization and analytical tools
  • Designing and implementing dashboards via Tableau, Alteryx and Python DASH library

What the JD emphasized

  • 5 years of progressively responsible experience
  • 5 years of experience in each of the following: Utilizing complex database systems for data querying and analysis, in-depth examination of datasets and critical insights into financial performance
  • Using programming languages including SQL, Python and Excel-VBA for process automation and report generation to optimize workflow and facilitate data-driven decision making
  • Designing and implementing dashboards via Tableau, Alteryx and Python DASH library to support visualization of analytical data