Senior Quantitative Engineer: Big Data & Risk Analytics

National Black MBA Association; Chicago, Northern (IL, KY); Hybrid; USD 155,000 - 202,000; Full time

Benefits offered by this job

Discretionary incentive eligible

Benefits eligible

Job summary

Bank of America in Chicago, IL seeks a Senior Quantitative Engineer to design and oversee reusable software components for Global Risk Analytics. You will work with modelers, risk managers, and technologists to shape data and analytics, building scalable data pipelines and applying quantitative methods across risk domains.

Strong software engineering and communication skills are essential. You will contribute across the data stack from data to model-to-UI, ensuring regulatory and business

Qualifications

• Bachelor’s degree in Computer Science or related field.
• 7+ years of relevant work experience in software engineering/quantitative roles.
• Strong programming skills (Python) and SDLC knowledge.
• Ability to explain methodologies to senior stakeholders and auditors.

Responsibilities

• Seeks opportunities for consistent improvement in quality, efficiency, and processes.
• Partners effectively with senior stakeholders within Global Risk Analytics and Enterprise Independent Testing.
• Provides leadership and oversight to less experienced team members.
• Applies quantitative methods to develop capabilities for risk management and regulatory needs.
• Understands financial data—schemas, flow, size, data issues and controls.
• Builds performant big data pipelines.
• Uses programming skills and SDLC knowledge to deliver high quality code for models and tests.

Skills

Critical Thinking

Data Modeling

Process Effectiveness

Risk Modeling

Test Engineering

Oral Communications

Written Communications

Attention to Detail

Education

Bachelor’s degree in Computer Science

Tools

Python

React

Angular

JavaScript

Job description

Bank of America in Chicago, IL seeks a Senior Quantitative Engineer to design and oversee reusable software components for Global Risk Analytics. You will work with modelers, risk managers, and technologists to shape data and analytics, building scalable data pipelines and applying quantitative methods across risk domains.

Strong software engineering and communication skills are essential. You will contribute across the data stack from data to model-to-UI, ensuring regulatory and business