Bank of America

Senior Quantitative Engineer

Bank of America

full-time

Posted on:

Location Type: Hybrid

Location: Chicago • Arizona, Illinois, New Jersey, North Carolina, Texas • 🇺🇸 United States

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Salary

💰 $125,000 - $210,000 per year

Job Level

Senior

Tech Stack

PythonSDLC

About the role

  • Assessing a portfolio of bank processes - including underlying data, flows, and controls
  • Designing and implementing modular, reusable software solutions to enhance Global Risk Management’s (GRM) capabilities in data, analytics and testing
  • Delivering timely, efficient, useful, and actionable independent insights into the operational health of these processes across domains and testing portfolios
  • Collaborating with senior process owners, risk managers, and technologists to assess processes, underlying data, flows and risks, and to design the future state of data, analytics and testing
  • Building deep subject matter expertise in bank processes and data across domains
  • Applying a combination of software engineering, big data and risk management skills to automate the evaluation of processes and control effectiveness for a portfolio of processes
  • Ensuring that the testing portfolio has comprehensive coverage across applicable laws, regulations, policies, and procedures

Requirements

  • Bachelor’s degrees or above in fields including but not limited to: Mathematics, Computer Science, Statistics, Process and Mechanical Engineering, Operations Research, Data Science (or equivalent work experience)
  • At least 7 years of relevant experience in software engineering in Quantitative Finance or other industries
  • Advanced programming skills (e.g. Python) and solid understanding of Software Development Life cycle (SDLC) principles
  • Proven track record of seamlessly leading and executing enterprise-wide initiatives
  • Strong ability to document and clearly articulate the rationale and impact of technical solutions to a wide range of audiences
  • Demonstrated experience in at least three (preferably more) of these following areas:
  • - Leading complex analytical and problem-solving initiatives
  • - Applying advanced quantitative methods such as modeling, data analytics, machine learning, and statistics to solve business problems
  • - Deep knowledge of financial services industry and regulatory frameworks
  • - Engineering solutions for large-scale structured and unstructured data sets
  • - Driving process improvements and automation across business and technology functions
Benefits
  • industry-leading benefits
  • access to paid time off
  • resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonSoftware Development Life Cycle (SDLC)data analyticsmachine learningquantitative methodsmodelingautomationsoftware engineeringbig dataprocess improvement
Soft skills
leadershipproblem-solvingcommunicationcollaborationdocumentationanalytical thinkingrationale articulationinitiative executionsubject matter expertiseorganizational skills
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