Quantitative Finance Analyst
$89,800–$155,000 year
On-siteChicago, Illinois, United States or Atlanta, Georgia, United States
Job Summary
Champion the integration of AI capabilities into existing analytics platforms to improve efficiency and decision-making. Implement, maintain, and enhance analytical models supporting customer decisioning, credit risk assessment, and stress testing initiatives. Translate business requirements into scalable production solutions using Python, SQL, and enterprise data platforms. Develop and support model execution, validation, monitoring, and deployment processes while partnering with business, analytics, and technology teams. Deliver concise quantitative documentation to inform stakeholders and meet policy requirements for regulatory exams.
Required Qualifications
- Masters or PhD in Computer Science, Engineering, Statistics, or similar discipline
- Minimum 2 year relevant experience
- Ability to work in a large, complex organization
- Self-starter
- Strong team player
- Strong communication skills
- Ability to effectively communicate quantitative topics to technical and non-technical audiences
- Experience with engineering complex, multifaceted processes that span across teams
- Strong programming skills
- Strong analytical and problem-solving skills
- 1st shift availability
- 40 hours per week availability
- Location in United States of America
- Location in Chicago, IL
- Salary range $89,800.00 - $155,000.00 annualized
Desired Qualifications
- Strong Python development skills
- Experience leveraging AI/ML frameworks
- Experience with software engineering best practices
- Experience with Git
- Experience with CI/CD
- Experience with automated testing
- Experience designing, developing, and maintaining scalable software applications
- Experience with data pipelines
- Experience with processing solutions using Python, SQL, and distributed computing technologies in enterprise environments
- Proven ability to translate business requirements and analytical models into production-ready applications
- Experience with consumer behavior model implementations
- Experience with credit risk model implementations
- Experience with stress testing model implementations
- Experience with Risk Analytics
- Experience with Risk Modeling
- Experience with Technical Documentation
- Experience with Adaptability
- Experience with Collaboration
- Experience with Problem Solving
- Experience with Risk Management
- Experience with Test Engineering
- Experience with Data Modeling
- Experience with Data and Trend Analysis
- Experience with Process Performance Measurement
- Experience with Research
- Experience with Written Communications
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