Prediction Markets Quant Researcher / Trader

Radley James; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

Radley James seeks a talented Quant Researcher/Trader to join its prediction markets trading team in New York or London. You will research and trade systematic strategies across prediction markets and event-driven opportunities.

The role requires strong quantitative skills, experience in quant trading, and Python proficiency; knowledge of C++/Rust is a plus.

Qualifications

• Strong quantitative background in maths, statistics, CS, physics, economics, or related field.
• Experience in quant trading, prediction markets, market making, or systematic research.
• Solid Python skills; C++/Rust experience is a plus.

Responsibilities

• Research and develop systematic trading strategies across prediction markets.
• Analyse market microstructure, pricing, liquidity, and event-driven signals.
• Build models for probability estimation, forecasting, and execution.
• Backtest, optimise, and deploy strategies into live markets.
• Monitor performance and continuously improve trading systems.

Skills

Strong quantitative background

Quant trading experience

Prediction markets experience

Tools

Python

C++

Rust

Job description

HFT Proprietary Trading | Crypto, Digital Assets & Traditional Markets

Location: NYC or London

A well-established proprietary trading firm, specialising in high-frequency and systematic trading across crypto, digital assets, real-world assets and traditional financial markets, is expanding its prediction markets trading team in New York and London.

They are looking for talented Quant Researcher / Traders to develop and trade systematic strategies across prediction and event-driven markets.

What you’ll do

• Research and develop systematic trading strategies across prediction markets


• Analyse market microstructure, pricing, liquidity, and event-driven signals


• Build models for probability estimation, forecasting, and execution


• Backtest, optimise, and deploy strategies into live markets


• Monitor performance and continuously improve trading systems

What we’re looking for

• Strong quantitative background in maths, statistics, CS, physics, economics, or a related field


• Experience in quant trading, prediction markets, market making, or systematic research


• Solid Python skills; experience with C++/Rust is a plus