Quantitative Engineer — Risk Analytics & Big Data

Bank of America; Jersey City (NJ); On-site; USD 90,000 - 156,000; Full time

Job summary

Bank of America is seeking Quantitative Engineers in Global Risk to design and implement reusable software components for data and analytics across the risk stack. You will work with modelers, risk managers and technologists to shape data pipelines and modeling tools that support regulatory and business needs.

The role emphasizes big data, software engineering practices, and documentation, with collaboration across the Bank to deliver scalable solutions and innovative risk analytics.

Qualifications

• Bachelor’s degree in Computer Science or a closely related field or equivalent work experience.
• 1–2 years of relevant professional experience or demonstrable projects showing coding and problem solving.
• Strong programming skills (e.g., Python) and understanding of SDLC principles.

Responsibilities

• Apply quantitative methods to meet risk and regulatory requirements.
• Understand financial data schemas, flow and quality.
• Build performant big data pipelines and write high-quality code.
• Collaborate with stakeholders to understand modeling and testing needs.
• Develop and document models and tests for internal/regulatory purposes.

Skills

Critical Thinking

Data Modeling

Process Effectiveness

Risk Modeling

Test Engineering

Influence

Oral Communications

Prioritization

Relationship Building

Written Communications

Attention to Detail

Change Management

Education

Bachelor’s degree in Computer Science or related field

Tools

Python

Spark

PySpark

Hadoop

Hive

React

JavaScript

Job description

Bank of America is seeking Quantitative Engineers in Global Risk to design and implement reusable software components for data and analytics across the risk stack. You will work with modelers, risk managers and technologists to shape data pipelines and modeling tools that support regulatory and business needs.

The role emphasizes big data, software engineering practices, and documentation, with collaboration across the Bank to deliver scalable solutions and innovative risk analytics.