Vice President; Trader

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

Vice President, Trader role at Bank of America focusing on analyzing trading workflows, managing risk, and developing software solutions for risk analytics, pricing, and trade lifecycle automation. Requires experience in commodities markets, derivatives pricing, quantitative strategies, and using Python/VBA for data analytics and tool development.

What you'd actually do

  1. Analyze current trading workflows, perform risk inventory management delivered from OTC client flows and identify opportunities for system improvements and automation.
  2. Design and develop software solutions, tools, and dashboards to support risk analytics, product pricing, and trade lifecycle automation.
  3. Build and maintain scalable data processing systems to handle financial data ingestion, transformation, and visualization.
  4. Develop statistical models and analytics frameworks to assist with trade performance analysis and strategy support.
  5. Collaborate with traders, sales and structuring personnel to create new investible strategy products, translate trading requirements into system features and technical specifications.

Skills

Required

  • Master's degree or equivalent in Computational Finance, Economics, Mathematics, or related
  • 3 years of experience in the job offered or a related Quantitative occupation
  • 3 years of experience in market making in commodities benchmark indices and commodities quantitative investible strategies (QIS) products
  • Understanding of commodities markets across sectors
  • Ability to perform hedges and execution in line with market liquidity while controlling market impact
  • Pricing for Request-for-Quotes (RFQs) from clients using product knowledge on exotic derivatives, including vanilla and exotic options, futures, forwards, swaps, variance/volatility swaps
  • Understanding of model limitations in derivative pricing models, including Black-Scholes Model, Bachelier Model, local and stochastic volatility model
  • Performing risk management on the books
  • Observing market dynamics
  • Performing data analytics
  • Coming up with new idea initiatives
  • Performing backtesting on systematic trading strategies
  • Cross-team collaboration with structuring, quant and tech teams to develop new investible strategy products
  • Utilizing Python and VBA to perform data analytics on financial data
  • Building tools to improve trading and risk management efficiency

What the JD emphasized

  • Master's degree or equivalent in Computational Finance, Economics, Mathematics, or related: and
  • 3 years of experience in the job offered or a related Quantitative occupation.
  • Must include 3 years of experience in each of the following:
  • Utilizing market making experience in commodities benchmark indices and commodities quantitative investible strategies (QIS) products;
  • Understanding of the commodities markets across sectors and abilities to perform hedges and execution in line with market liquidity while controlling market impact;
  • Pricing for Request-for-Quotes (RFQs) from clients using product knowledge on exotic derivatives, including vanilla and exotic options, futures, forwards, swaps, variance/volatility swaps;
  • Understanding of model limitations in derivative pricing models, including Black-Scholes Model, Bachelier Model, local and stochastic volatility model and performing risk management on the books;
  • Observing the market dynamics, performing data analytics and coming up with new idea initiatives and performing backtesting on systematic trading strategies and performing cross-team collaboration with structuring, quant and tech teams to develop new investible strategy products; and,
  • Utilizing Python and VBA to perform data analytics on financial data and build tools to improve trading and risk management efficiency.