Quantitative Risk & Modeling Manager

Bank of America Corporation; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

Bank of America is seeking a senior quantitative professional to lead a team developing and validating analytics and models for risk management. You will act as a SME on quantitative techniques, oversee model performance, governance, and risk across critical portfolios, while coordinating with stakeholders and senior management.

The role requires a Master’s degree in a related field and 5–10 years of experience in risk/finance, with strong Python, SQL, and Excel skills, plus robust documentation

Qualifications

• Master’s degree in statistics, mathematics, computer science, information systems, physics or a related quantitative field.
• 5–10 years of experience in risk/finance or related discipline.
• Experience working with Python, Excel, and SQL scripting.
• Strong documentation skills.

Responsibilities

• Leads a quantitative team with model coverage of specified focus areas and oversees stakeholder engagement for audits and regulatory exams.
• Sets priorities related to quantitative modeling aligned with the bank’s strategy.
• Identifies improvements through reviews of model decisions and technical documentation.
• Oversees model development and model risk management in focus areas to support business needs and risk appetite.
• Provides methodological, analytical, and technical guidance to influence project directions and identify risks.
• Communicates submission and validation outcomes with model stakeholders and senior management.

Job description

Bank of America is seeking a senior quantitative professional to lead a team developing and validating analytics and models for risk management. You will act as a SME on quantitative techniques, oversee model performance, governance, and risk across critical portfolios, while coordinating with stakeholders and senior management.

The role requires a Master’s degree in a related field and 5–10 years of experience in risk/finance, with strong Python, SQL, and Excel skills, plus robust documentation