Quantitative Developer / Analyst - GPU

Selby Jennings; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

Selby Jennings is seeking a data operations professional to design, build, and maintain high-performance analytics and pricing libraries powering our index products. You will focus on reliability, scalability, and production-grade maintainability within a fast-growing data platform.

Collaborate with backend and benchmark engineers, promote engineering best practices, and accelerate development using AI tools and modern technologies.

Qualifications

• 4+ years of experience in a quantitative role in financial services, market data, or infrastructure/compute markets is a strong plus.
• Strong programming skills in Python and SQL; exposure to market or pricing data and statistics/probability-based modeling.
• Solid grounding in software design principles and building maintainable, testable systems.
• Hands-on experience building data products from raw data.

Responsibilities

• Design, build, and maintain high-performance analytics and pricing libraries that power our index products with a focus on reliability, scalability, and maintainability in production
• Champion engineering best practices across the team, including code reviews, documentation standards, and performance profiling
• Collaborate with backend and benchmark engineers to build reliable, intuitive systems
• Accelerate development using AI tools and modern technologies

Skills

Python

SQL

Quantitative analysis

Software design

Education

Master's degree in a quantitative field

Job description

This role is part of our data operations team, the industry platform for tracking GPU pricing data across the market, bringing transparency to pricing trends and comparisons, where you'll play a key role in shaping its evolution as we grow.

What You'll Do

• Design, build, and maintain high-performance analytics and pricing libraries that power our index products with a focus on reliability, scalability, and maintainability in production
• Champion engineering best practices across the team, including code reviews, documentation standards, and performance profiling
• Collaborate with backend and benchmark engineers to build reliable, intuitive systems
• Accelerate development using AI tools and modern technologies

Required Qualifications

• 4+ years of experience in a quantitative role ideally in financial services, market data, or infrastructure/compute markets experience is a strong plus
• Strong programming skills in Python and SQL required; exposure to market or pricing data and statistics/probability-based modeling
• Solid grounding in software design principles and building maintainable, testable systems
• Hands-on experience building data products from raw data.

Preferred Qualifications

• Strong interest in the AI economy and the infrastructure powering it, including GPU markets, compute pricing dynamics, and AI infrastructure trends
• Master's degree in a quantitative field (Computer Science, Statistics, Financial Engineering, Mathematics, or related)
• Experience working cross-functionally with product, data, or business teams to translate market dynamics into models
• Prior experience at an early-stage or high-growth company, comfortable with ambiguity and evolving scope

Why You'll Love Working Here

• Small, flat team with fast feedback loops and high autonomy
• Work on technically challenging problems