Senior Quantitative Risk Modeller

Bank of America; Jersey City (NJ); On-site; USD 125,000 - 210,000; Full time

Benefits offered by this job

Discretionary incentive

Benefits package

Annual discretionary plan

Job summary

Bank of America is seeking a Senior Quantitative Finance Analyst in Jersey City, NJ, within the AMG of Global Risk Analytics. Lead development, validation and deployment of advanced risk and capital models, collaborating with stakeholders to capture requirements and implement innovative modeling solutions.

Ideal candidates hold a Master’s degree in a quantitative field, with several years of experience and strong programming skills in SQL, Python, VBA, and LaTeX.

Qualifications

• Master’s degree in a quantitative field or equivalent work experience.
• PhD is desirable but not required depending on experience.
• Strong foundation in statistics and financial mathematics for model development.

Responsibilities

• Lead design, development, and deployment of new risk and capital models.
• Provide industry-standard approaches to modelling problems and communicate results.
• Collaborate with stakeholders to gather requirements and deliver technical solutions.
• Produce clear documentation for internal and regulatory purposes.
• Govern models and processes to meet regulatory expectations and deadlines.
• Drive adoption of best practices in model development and monitoring.
• Mentor junior team members and manage multiple projects.

Skills

Statistics

Probability Theory

Econometrics

Financial Mathematics

Leadership

Verbal Communication

Written Communication

Problem Solving

Education

Master’s degree

PhD desired

Tools

SQL

Python

VBA

LaTeX

Job description

Bank of America is seeking a Senior Quantitative Finance Analyst in Jersey City, NJ, within the AMG of Global Risk Analytics. Lead development, validation and deployment of advanced risk and capital models, collaborating with stakeholders to capture requirements and implement innovative modeling solutions.

Ideal candidates hold a Master’s degree in a quantitative field, with several years of experience and strong programming skills in SQL, Python, VBA, and LaTeX.