Prediction Markets Infrastructure Engineer

Unlok; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Unlok is seeking a strong backend/quant engineer to build the prediction-market infrastructure from the ground up in New York. You’ll integrate third-party market APIs, build our own APIs and data pipelines, and develop the systems behind real-time P&L, portfolio analytics, pricing, exposure, and risk.

You will collaborate with product and quantitative teams, applying rigorous engineering to trading infrastructure and turning zero ideas into scalable solutions in a fast-paced fintech environment.

Qualifications

• Strong backend engineering and quantitative skills.
• Experience in trading/fintech or market infrastructure.
• Python required; APIs, databases, and real-time systems experience.
• Entrepreneurial mindset and ability to build from zero.

Responsibilities

• Build APIs and data infrastructure for prediction markets.
• Integrate Kalshi, Polymarket, and other third-party APIs.
• Develop P&L, pricing, portfolio, exposure, and risk models.
• Build reliable real-time data pipelines and analytics.
• Work closely with product and quantitative teams.

Skills

Backend engineering

Quantitative skills

Trading/fintech experience

Real-time analytics

Tools

Python

APIs

Databases

Real-time data pipelines

Job description

Build the infrastructure powering the next generation of prediction markets.

We’re looking for a strong backend/quant engineer to build our prediction-market infrastructure from the ground up. You’ll integrate third-party market APIs, build our own APIs and data pipelines, and develop the systems behind real-time P&L, portfolio analytics, pricing, exposure, and risk.

What you’ll do

• Build APIs and data infrastructure for prediction markets
• Integrate Kalshi, Polymarket, and other third-party APIs
• Develop P&L, pricing, portfolio, exposure, and risk models
• Build reliable real-time data pipelines and analytics
• Work closely with product and quantitative teams

Ideal background

• Strong backend engineering + quantitative/math skills
• Experience with trading, exchanges, fintech, or market infrastructure
• Python required; experience with APIs, databases, and real-time systems
• Entrepreneurial mindset - comfortable building from zero