Quantitative Researcher (Consumer Credit)

Radley James; United States; Remote; USD 200,000 - 225,000; Full time

Benefits offered by this job

401(k)

Vision insurance

Medical insurance

Pension plan

Large discretionary bonus potential

Job summary

A leading tech-first investment firm is seeking a Quantitative Researcher to enhance predictive AI/ML models and lead investment strategies. This role offers competitive salary and benefits, along with the chance to make a significant impact in the consumer credit market.

Qualifications

• 3+ years of experience in quantitative research in financial services.
• Strong programming experience with Python.

Responsibilities

• Improve and optimize predictive AI/ML models for investment strategies.
• Lead development of new strategies and track their performance.
• Collaborate with capital partners and internal teams.

Skills

Python

Analytical Skills

Communication

Education

Degree in Computer Science

Degree in Engineering

Job description

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.

What They Looking For:

● 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.

What They Offer:

● Competitive salary and benefits.

● High-impact work that directly affects company revenue.

● Large discretionary bonus potential.

● Remote-friendly environment.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Finance and Engineering

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Inferred from the description for this job

401(k)

Vision insurance

Medical insurance

Pension plan

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