Quantitative Researcher (Consumer Credit)
$200k - $225kRadley James
Quantitative Researcher (Consumer Credit) Quantitative Researcher (Consumer Credit) This range is provided by Radley James. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $200,000.00/yr - $225,000.00/yr Direct message the job poster from Radley James Recruitment Expert | Specialized in Technology & Quant Trading Talent Acquisition | Driving Innovation in Global Finance Hiring here on behalf of a tech-first investment firm specializing in U.S. consumer credit markets, including personal and auto loans. Their proprietary machine learning models drive everything from predictive borrower analytics to execution services and portfolio monitoring. The firm are expanding their quantitative research team to support new partnerships with loan originators and capital providers. If you enjoy improving machine learning models, leading new strategies, and working directly with capital partners, this is a chance to have a real impact. What You’ll Do:
- Improve and optimize predictive AI/ML models for investment strategies.
- Lead development of new strategies and track their performance.
- Evaluate new investment opportunities and write investment committee memos.
- Collaborate with capital partners and internal teams to support execution.
- Contribute to production Python codebases across research and operations.
- 3+ years of experience in quantitative research in financial services.
- Degree in Computer Science, Engineering, or similar, with strong programming experience.
- Deep Python skills, especially in building and maintaining high-quality codebases.
- Familiarity with predictive modeling, hyperparameter tuning, and performance evaluation.
- Bonus: Experience with financial math, fixed income, or structured credit.
- Strong analytical and communication skills.
- Comfortable working independently and in a fast-paced team environment.
- Competitive salary and benefits.
- High-impact work that directly affects company revenue.
- Large discretionary bonus potential.
- Remote-friendly environment.
Vacancy posted 1 day ago
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