Senior Quantitative Engineer, Global Risk Analytics

HITEC; Jersey City (NJ); On-site; USD 140,000 - 216,000; Full time

Benefits offered by this job

Benefits eligible

Annual discretionary plan

Discretionary incentive

Job summary

Bank of America is seeking a Senior Quantitative Engineer to design and oversee reusable, scalable software components enabling data and analytics in Global Risk Management. This role collaborates with senior modelers, risk managers, and technologists to shape the future data and analytics state across the bank.

You will work across domain-independent and domain-specific components, contributing to data quality, modeling, and testing frameworks while ensuring robust, scalable solutions for

Qualifications

• Bachelor’s degree in Computer Science or related field (or equivalent work experience)
• 7+ years of relevant work experience
• Strong programming and software development lifecycle knowledge

Responsibilities

• Seeks opportunities for consistent improvement in quality, efficiency, and processes
• Partners effectively with senior stakeholders within Global Risk Analytics and Enterprise Independent Testing, Front Line Units, Technology, Audit and Compliance
• Provides leadership and oversight to less experienced team members
• Applies quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements
• Understands financial data: schemas, flow, size, data issues, data controls, etc.
• Builds performant big data pipelines
• Uses programming skills and knowledge of software development lifecycle principles to deliver high quality code for model and testing processes

Skills

Software engineering

Big data

Modeling/quantitative

Education

Bachelor's degree in Computer Science or related field

Tools

React

Angular

JavaScript

Job description

Bank of America is seeking a Senior Quantitative Engineer to design and oversee reusable, scalable software components enabling data and analytics in Global Risk Management. This role collaborates with senior modelers, risk managers, and technologists to shape the future data and analytics state across the bank.

You will work across domain-independent and domain-specific components, contributing to data quality, modeling, and testing frameworks while ensuring robust, scalable solutions for