Senior Quantitative Engineer - Global Risk & Data Pipelines

Hobbsnews; Chicago, Northern (IL, KY); Hybrid; USD 155,000 - 202,000; Full time

Job summary

Bank of America is seeking Senior Quantitative Engineers to design and oversee scalable software components that support data and analytics across Global Risk. You’ll collaborate with modelers, risk managers, and technologists to define future data capabilities and ensure robust, reusable solutions for complex risk and testing workflows.

Ideal candidates bring 7+ years in software engineering within quantitative finance, strong Python skills, and a track record of enterprise-scale delivery while

Qualifications

• Bachelor’s degree in Computer Science or related field or equivalent work experience.
• 7+ years of relevant work experience.
• Strong programming skills (e.g., Python) and solid understanding of SDLC.
• Experience leading enterprise-wide initiatives and communicating with senior stakeholders.
• Ability to explain methodologies clearly to auditors and regulators.

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.
• Understanding financial data: schemas, flow, size, data issues, data controls, etc.
• Building performant big data pipelines.
• Use programming skills and knowledge of software development lifecycle principles to deliver high quality code for model and testing processes.

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

React

Angular

JavaScript

Job description

Bank of America is seeking Senior Quantitative Engineers to design and oversee scalable software components that support data and analytics across Global Risk. You’ll collaborate with modelers, risk managers, and technologists to define future data capabilities and ensure robust, reusable solutions for complex risk and testing workflows.

Ideal candidates bring 7+ years in software engineering within quantitative finance, strong Python skills, and a track record of enterprise-scale delivery while