Senior Quantitative Risk Modeling Lead

National Black MBA Association; Jersey City (NJ); On-site; USD 125,000 - 210,000; Full time

Job summary

Bank of America in Jersey City seeks a Senior Quantitative Finance Analyst to drive end‑to‑end market risk modelling, stress testing and capital decision support. You will lead model design, validation, and implementation, working with stakeholders across the bank to deliver robust quantitative solutions.

The role requires advanced degrees in quantitative fields, strong programming, and a track record of delivering complex models on tight timelines.

Qualifications

• Highly numerical degree with extensive modelling experience.
• Experience developing and implementing large quantitative models and managing large data sets.
• Strong programming, writing and communication skills are required.

Responsibilities

• Provide leadership and technical acumen in design, development, implementation and deployment of new models, processes or systems.
• Communicate industry best practices and innovative modelling approaches to stakeholders.
• Collaborate with cross‑functional partners to collect requirements and deliver modelling solutions.
• Document technical work for internal and regulatory purposes.
• Ensure governance of models to meet regulatory expectations and deadlines.
• Lead junior team members and deliver results under pressure.

Skills

Critical Thinking

Quantitative Development

Risk Analytics

Risk Modeling

Technical Documentation

Adaptability

Collaboration

Problem Solving

Risk Management

Test Engineering

Data Modeling

Data and Trend Analysis

Process Performance Measurement

Research

Written Communications

Education

Master's degree in related field

PhD level desirable

Tools

SQL

Python

VBA

LaTeX

Job description

Bank of America in Jersey City seeks a Senior Quantitative Finance Analyst to drive end‑to‑end market risk modelling, stress testing and capital decision support. You will lead model design, validation, and implementation, working with stakeholders across the bank to deliver robust quantitative solutions.

The role requires advanced degrees in quantitative fields, strong programming, and a track record of delivering complex models on tight timelines.