Senior Quantitative Finance Analyst

$125,000 - $210,000/Yr

Disability Solutions - New York, NY

Full-time - Senior

New York, NY

About the position

The Senior Quantitative Finance Analyst at Bank of America is responsible for conducting independent reviews and testing of various models using advanced statistical, AI, and machine learning techniques. This role focuses on model validation, governance, and compliance with model risk management guidelines, providing both thought leadership and hands-on expertise in the field.

Responsibilities

• Performing model review activities including independent model validation, annual model review, ongoing monitoring report review, and peer review.
• Conducting governance activities such as model identification, model approval, and breach remediation reviews to manage model risk.
• Providing methodological, analytical, and technical support to influence the strategic direction of projects.
• Communicating and collaborating with modeling teams and Front Line Units, as well as interacting with internal audit and external regulators when necessary.
• Writing technical reports for distribution to model developers, senior management, audit, and banking regulators.

Requirements

• PhD or Masters in a quantitative field such as Mathematics, Physics, Finance, Engineering, Computer Science, or Statistics.
• 8+ years of experience in quantitative research, model development, and/or model validation.
• Strong knowledge of financial, mathematical, and statistical theories and practices, with a deep understanding of modeling processes and model risk governance.
• Understanding of additional risks associated with AI/ML models is a plus.
• Proficient in at least one high-level programming language like Python or R.
• Domain knowledge in banking operations, stress testing, and technology related to operations management is a plus.
• Strong written and verbal communication skills, with the ability to collaborate with non-technical stakeholders.
• Critical thinking and the ability to independently identify, suggest, and resolve issues.

Nice-to-haves

• Understanding of additional risks of AI/ML models.
• Domain knowledge such as banking operations, stress testing, and technology related to operations management.

Benefits

• Industry-leading benefits
• Access to paid time off
• Resources and support for employees to make a genuine impact
• Participation in the annual discretionary incentive plan based on performance.