Associate - Quant

Bank of America

New York, NY, United States
Base: $175,000.00 annualized; bonus/equity: discre...
Fully remote
Developing quantitative analytics for delta one products
Utilizing python numeric analysis software including numpy
Applying optimization techniques for balance sheet utilization
The role involves performing enhancement of pricing and risk models to incorporate new market or product features

Job Summary

  • The role involves performing enhancement of pricing and risk models to incorporate new market or product features.
  • Employees are eligible for an annual discretionary award based on individual performance and company success.
  • Bank of America is committed to an in-office culture with specific attendance requirements while allowing flexibility based on role considerations.

Matching Summary

The role involves performing enhancement of pricing and risk models to incorporate new market or product features.

Salary

Base: $175,000.00 annualized; Bonus/Equity: Discretionary incentive eligible; Benefits: Industry-leading benefits and paid time off

Skills & Requirements

Must-have

  • Developing quantitative analytics for delta one products
  • Utilizing Python numeric analysis software including numpy
  • Applying optimization techniques for balance sheet utilization
  • Using machine learning for data extraction automation
  • Developing ETL pipelines for pre-trade analytics

Nice-to-have

  • Experience with functional programming techniques
  • Ability to develop workflow tools and user interfaces
  • Collaboration with front office technology teams
  • Support for regulatory compliance requirements

Key Requirements

  • Master's degree in Financial Engineering, Economics, Mathematics, Finance, or related field
  • 2 years of experience in developing quantitative analytics for delta one products
  • 2 years of experience utilizing numeric analysis software in Python
  • 2 years of experience applying optimization techniques for balance sheet utilization
  • 2 years of experience using machine learning methodologies for automation
  • 2 years of experience developing ETL pipelines for swap business

Work Rights

Not specified

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