Senior Counterparty Risk Quant Analyst

Bank of America; New York (NY); On-site; USD 170,000 - 230,000; Full time

Job summary

Bank of America is seeking a Sr Quantitative Finance Analyst in New York to lead complex CCR modelling efforts within the CCRAQ team. You will develop, test, document, and maintain counterparty credit risk models and related data tools, working with cross-functional partners in Risk, Technology, and Front Office.

You will apply advanced mathematical modelling in fixed income or commodities, using C++ and Python, and contribute to model governance, documentation, and regulatory readiness.

Qualifications

• Master's degree or PhD required with 5+ years in quantitative modelling for a global financial institution.
• Experience with mathematically sophisticated financial modelling for pricing or counterparty risk.
• Ability to express technical concepts clearly in written and spoken English.
• Programming skills in C++ and Python with solid software development principles.
• Ability to multitask with excellent time management and deliverables.
• Proactive with initiative and attention to detail.

Responsibilities

• Development, testing, documentation and maintenance of counterparty credit risk models and related tooling.
• Support of the counterparty credit risk platform and resolution of model-related issues.
• Improvements to model development infrastructure and test harnesses.
• Collaborate with Capital, Risk, Technology, Model Risk Management and Market Risk Management on model enhancements and regulatory readiness.
• Work on fixed income and/or commodity products for a global financial institution.
• Prepare developmental evidence and documentation to support exams.
• Communicate results to stakeholders including regulators and senior management.
• Drive improvements to the model performance assessment toolset.

Skills

C++

Python

Education

Master's degree or PhD in Mathematics/Physics or related field

Job description

Bank of America is seeking a Sr Quantitative Finance Analyst in New York to lead complex CCR modelling efforts within the CCRAQ team. You will develop, test, document, and maintain counterparty credit risk models and related data tools, working with cross-functional partners in Risk, Technology, and Front Office.

You will apply advanced mathematical modelling in fixed income or commodities, using C++ and Python, and contribute to model governance, documentation, and regulatory readiness.