Senior Quantitative Engineer: Big Data & Risk Modeling

Bank of America

Charlotte (NC)

On-site

USD 140,000 - 213,000

Full time

5 days ago
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Job summary

Bank of America in Chicago, IL, seeks Senior Quantitative Engineers to design and oversee scalable software components for risk analytics. You will collaborate with senior modelers, risk managers, and technologists to shape data and analytics, delivering reusable components for GRM, GRA, and testing frameworks.

The role expects 7+ years of software engineering experience, strong Python skills, and a track record in building large-scale data solutions.

Qualifications

  • Bachelor's degree in Computer Science or a related field.
  • 7+ years of relevant work experience.
  • Strong programming and SDLC knowledge.

Responsibilities

  • Seek opportunities for consistent improvement in quality, efficiency, and processes.
  • Partner with senior stakeholders across Global Risk Analytics and Enterprise testing, Front Line Units, Technology, Audit and Compliance.
  • Provide leadership and oversight to less experienced team members.
  • Apply quantitative methods to develop capabilities meeting risk management and regulatory requirements.
  • Understand financial data schemas, flow, size, data issues, and controls.
  • Build performant big data pipelines.
  • Deliver high quality code for model and testing processes.

Skills

Software engineering
Big data pipelines
Python
Modeling / quantitative
Risk modeling
Data governance
Communication

Education

Bachelor's degree in Computer Science or related field

Tools

React
Angular
JavaScript

Job description

Bank of America in Chicago, IL, seeks Senior Quantitative Engineers to design and oversee scalable software components for risk analytics. You will collaborate with senior modelers, risk managers, and technologists to shape data and analytics, delivering reusable components for GRM, GRA, and testing frameworks.

The role expects 7+ years of software engineering experience, strong Python skills, and a track record in building large-scale data solutions.

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