Senior Quantitative Engineer, Big Data & Risk Analytics

NBMBAA; Chicago (IL); On-site; USD 140,000 - 216,000; Full time

Benefits offered by this job

Discretionary incentive

Industry-leading benefits

Paid time off

Job summary

Bank of America is seeking a Senior Quantitative Engineer for Global Risk Analytics in Chicago. You will design and oversee reusable software components for data and analytics across risk and testing frameworks, partnering with senior modelers, risk managers, and technologists to shape future data capabilities.

The role requires 7+ years in software engineering, strong Python and data skills, and the ability to deliver enterprise-wide initiatives.

Qualifications

• Bachelor's degree in Computer Science or equivalent with software engineering focus.
• 7+ years of relevant work experience in software engineering/quantitative finance.
• Strong programming and data analytics capabilities.

Responsibilities

• Seek opportunities for consistent improvement in quality, efficiency, and processes.
• Partner effectively with senior stakeholders within GRA & EIT, Front Line Units, Technology, Audit and Compliance.
• Provide leadership and oversight to less experienced team members.
• Applying 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.
• Collaborate with key stakeholders across the Bank to understand modeling and testing business processes and requirements.
• Think outside the box of current industry standards to develop innovative approaches.
• Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks.
• Source and evaluate data required for modeling and testing
• Design and develop and implement models and tests
• Produce clear, concise and repeatable technical documentation models and tests for internal and regulatory purposes

Skills

Software engineering

Big data

Quantitative modeling

Python

Stakeholder communication

Problem solving

Attention to detail

Education

Bachelor's degree in Computer Science

Tools

React

Angular

JavaScript

Job description

Bank of America is seeking a Senior Quantitative Engineer for Global Risk Analytics in Chicago. You will design and oversee reusable software components for data and analytics across risk and testing frameworks, partnering with senior modelers, risk managers, and technologists to shape future data capabilities.

The role requires 7+ years in software engineering, strong Python and data skills, and the ability to deliver enterprise-wide initiatives.