Remote Quant Trader – Prediction Markets

Job description

About the Company

We're a forward-thinking quantitative trading firm building institutional-grade strategies across the rapidly expanding prediction markets ecosystem. As traditional finance converges with decentralized markets, we’re positioning at the forefront—trading binary event contracts on regulated exchanges (

Kalshi

,

CME Event Contracts

) and crypto-native platforms (

Polymarket

,

Augur

). Our fully remote team spans time zones to capture 24/7 opportunities in politics, economics, sports, crypto, and geopolitical events.

About the Role

Strategy Owner and lead. You’ll design, backtest, and deploy systematic trading strategies across the full spectrum of prediction market alpha sources—from microsecond market-making to multi-week directional bets. Unlike traditional markets, prediction markets offer unique edges: information asymmetry around real-world events, cross-platform fragmentation, and behavioral biases in probability estimation. Your mandate: exploit them all.

Responsibilities

• Manage a live capital allocation with full P&L accountability across multiple venues

• Build quantitative models to estimate true event probabilities, detect mispricing, and optimize position sizing

• Develop low-latency trading infrastructure (Python/C++/Rust) interfacing with exchange APIs and blockchain RPCs

• Continuously monitor markets in real-time during high-impact events (elections, FOMC, major sports)

• Backtest strategies on historical order book data and simulated environments before live deployment

• Collaborate with researchers to integrate alternative data (social sentiment, web traffic, on-chain flows) into pricing models

Qualifications

• 2+ years professional experience in quantitative trading, market making, or statistical arbitrage (prop shop, hedge fund, or HFT firm)

• Proven track record trading binary/options/event contracts—live trading experience on Kalshi or Polymarket strongly preferred

• Expertise in Python (pandas, numpy, asyncio) and experience with low-latency systems (C++, Rust, or Go a plus)

• Deep understanding of probability theory, Bayesian updating, and risk management for binary outcomes

• Ability to work independently across time zones with minimal supervision (we're fully remote-first)

Required Skills

• Experience building market-making bots or statistical arbitrage systems from scratch

• Familiarity with blockchain infrastructure (EVM, smart contracts, gas optimization)

• Background in political science, economics, or sports analytics with quantitative rigor

• Published research on prediction markets, information aggregation, or event-driven trading

Preferred Skills

• Experience building market-making bots or statistical arbitrage systems from scratch

• Familiarity with blockchain infrastructure (EVM, smart contracts, gas optimization)

• Background in political science, economics, or sports analytics with quantitative rigor

• Published research on prediction markets, information aggregation, or event-driven trading

Equal Opportunity Statement

We are committed to diversity and inclusivity.

Extra information

Status

Open

Education Level

Secondary School

Location

London Area

Type of Contract

Full-time jobs

Published at

08-05-2026

Profession type

Accountancy

Full UK/EU driving license preferred

No

Car Preferred

No

Must be eligible to work in the EU

No

Cover Letter Required

No

Languages

English