Quant jobs / Bank of America

Quantitative Finance Manager – Market and Counterparty Risk Systems

A team-lead role in Bank of America's quant group covering market and counterparty risk models and systems. It combines model oversight with requirements and design for risk systems.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Lead the team supporting market and counterparty risk models
Define requirements and system design for revaluation, reference and market data projects
Support regulatory projects and hand processes over to production teams
Act as the main contact for risk managers and regulators on model and system questions

What they ask for

Required

Master's in a quantitative field (PhD preferred)
5-10 years in risk, finance or similar
Python, Excel and SQL
Strong documentation skills
Quantitative modelling experience

Preferred

Financial markets and risk management knowledge
Strong communication

Education: Master's in a related field, PhD preferred; degree in statistics, mathematics, computer science, physics or similar
Experience: 5-10 years in risk, finance or a related discipline
Languages and tools: Python
SQL
Excel
Markets: multi-asset

How to prepare

Learn how full revaluation market risk and counterparty exposure are calculated
Build a small risk report from market data using Python and SQL
Study regulatory change topics in market risk at a high level
Practise writing requirements and design documents

What to study

The Risk Quant roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Bank of America’s site before applying: requirements, location and pay can change after we check them.

View the posting on Bank of America’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Bank of America and doesn’t handle applications.