Quantitative Researcher

Radley James; United States; Remote; USD 50,000 - 56,000; Full time

Job summary

A leading investment firm is seeking a Quantitative Researcher to enhance AI/ML models and develop investment strategies. This role offers a competitive salary, comprehensive benefits, and the opportunity to make a significant impact in a growing team focused on U.S. consumer credit markets.

Benefits

401(k)

Vision insurance

Medical insurance

Pension plan

Qualifications

• 3+ years of experience in quantitative research within financial services.
• Advanced Python programming skills.

Responsibilities

• Enhance and optimize AI/ML models used in investment decision-making.
• Lead the design and performance tracking of new strategies.

Skills

Python

Analytical Skills

Communication

Education

Computer Science

Engineering

Job description

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Connecting Exceptional Talent with Leading Firms in Technology and Quantitative Trading | Specialist in Building High-Impact Teams for Global Growth

About the Company:

Our client is a technology-first investment firm focused on the U.S. consumer credit markets, including personal and auto loans. Founded in 2017, the firm uses proprietary machine learning models to power every part of its platform—from predictive borrower analytics to execution and portfolio monitoring.

Why This Role?

The firm is growing its quantitative research team to support new partnerships with loan originators and capital providers. If you're passionate about advancing machine learning models, developing new investment strategies, and working directly with capital partners, this is a unique opportunity to make a tangible impact in a high-growth environment.

Key Responsibilities:

• Enhance and optimize AI/ML models used in investment decision-making.
• Lead the design and performance tracking of new strategies.
• Analyze new investment opportunities and produce memos for the investment committee.
• Work closely with internal teams and external partners to support execution.
• Contribute to and maintain Python codebases used in research and operations.

Ideal Candidate Profile:

• 3+ years of experience in quantitative research within financial services.
• Strong academic background in Computer Science, Engineering, or a related field.
• Advanced Python programming skills, particularly with building and maintaining production-quality codebases.
• Proficient in predictive modeling, hyperparameter tuning, and model evaluation.
• Bonus points for experience in financial mathematics, fixed income, or structured credit.
• Excellent analytical and communication skills.
• Able to thrive independently and in fast-paced team environments.

What’s on Offer:

• Competitive salary and comprehensive benefits package.
• High-impact role with direct influence on revenue generation.
• Significant discretionary bonus potential.
• Remote-friendly setup.
• Insight into the intersection of fintech and credit markets.
• Opportunity to join a fast-growing firm managing over $1B in assets.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research and Finance

• Industries

  Capital Markets

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Inferred from the description for this job

401(k)

Vision insurance

Medical insurance

Pension plan

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