Senior Associate, Capital Markets and Risk

Capital One Capital One · Banking · McLean, VA

This role is in Capital Markets and Risk at Capital One, focusing on independent risk management of balance sheet activities. The Senior Associate will perform risk analysis, strategic thinking, market research, and develop an independent perspective on risk factors. Responsibilities include engaging with business lines for analytical support, becoming a subject matter expert in areas like interest rate risk or liquidity risk, utilizing technology for data analysis and process automation, and analyzing financial market developments and regulatory guidance. The role requires strong analytical and finance foundational understanding, comfort with data governance, and fluency with Python. Experience with AI tools like Gemini for automation is a plus, as is experience in liquidity risk teams and understanding bank liquidity regulatory requirements. The role is primarily focused on traditional finance and risk management, with AI tools being used for automation rather than core AI/ML development.

What you'd actually do

  1. Proactively engaging with lines of businesses and providing analytical support for research, analysis, and independent risk management in various areas of MLRO’s oversight of balance sheet risk
  2. Become a subject matter expert in one or more areas of balance sheet risk oversight, such as interest rate risk, stress testing, liquidity risk, or funds transfer pricing
  3. Utilize technology to perform data analysis and support process automation as a source of independent risk assessment
  4. Understand and analyze financial market developments and regulatory guidance in relation to the impact on the balance sheet
  5. Interacting with key stakeholders across multiple organizations to evaluate risk and providing support for balance sheet analysis

Skills

Required

  • Bachelor’s degree
  • At least 1 year of experience in quantitative and qualitative analysis
  • Strong analytical thinking and problem solving skills
  • Strong foundational understanding of finance and broader macro economics
  • Comfort with data governance and data management with proven experience working with large data sets
  • An understanding of the banking system and financial market concepts
  • Fluency with python and experience using python in a financial setting
  • The ability to communicate complex topics to a wide range of audiences

Nice to have

  • Master’s Degree in Business or quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering
  • 2+ years of experience in risk management or capital markets
  • 2+ years of experience in banking industry or equivalent financial services firm
  • 2+ years of experience working with business intelligence tools
  • 1+ years of experience in SQL, Python, Snowflake, and Excel
  • 1+ years of experience in data analytic tools, including Tableau and Quicksites
  • 1+ years of experience in bank stress testing, interest rate risk, or liquidity risk management practices or regulations
  • 1+ year of experience in consulting
  • Some experience using AI tools such as Gemini to automate and improve the day to day processes being run within a team
  • Experience working in a liquidity risk team and an understanding of bank liquidity regulatory requirements
  • An understanding of a bank balances sheet dynamics including securities investments, cash management, wholesale funding activity and loans/deposits

What the JD emphasized

  • independent risk management
  • independent analysis
  • independent risk assessment