Senior Quant Developer – Trading Systems (FT-WW)

Role Overview

Our Client is looking for a Senior Quant Developer – Trading Systems. We are a dynamic trading firm specializing in sports and event-based prediction markets. Our goal is to leverage proprietary quantitative models combined with disciplined, systematic execution to identify and capitalize on opportunities. As part of our small, focused team, your contributions will quickly transition into production, directly impacting our trading performance.

Responsibilities

• Design, build, and maintain automated trading systems tailored for sports and event-based prediction markets.
• Develop robust exchange integrations and execution infrastructure across various trading venues and data providers.
• Translate complex trading strategies and quantitative models into reliable production-grade software.
• Create systems for ingesting, normalizing, and processing both real-time and historical market data.
• Integrate and match events, markets, and pricing data across multiple exchanges and external data sources.
• Develop comprehensive pricing libraries, backtesting frameworks, simulations, and efficient research-to-production workflows.
• Construct internal trading tools and dashboards for effective monitoring of positions, exposure, P&L, and system performance.
• Implement risk controls, alerting, and auditing mechanisms to ensure the integrity of automated trading systems.
• Maintain accurate records of positions, balances, fees, and P&L across trading accounts, ensuring seamless reconciliation and reporting.
• Enhance the reliability, scalability, and performance of the trading infrastructure.

Required Skills

• 4–5+ years of professional experience in software engineering, quantitative development, or trading systems.
• Prior experience at a trading firm or sports betting company is essential.
• Proficiency in Python with a proven track record of developing reliable, production-quality software.
• Strong SQL skills, including database design and data modeling expertise.
• Experience with third-party API integration and real-time data stream handling.
• Familiarity with trading logic, pricing, risk management, market data, or automated execution systems.
• Solid understanding of probability and statistics.
• Demonstrated ability to work independently, taking ownership of complex systems while making informed technical decisions.
• Strong communication skills for effective collaboration with researchers, traders, and portfolio managers.
• Exposure to financial accounting, reconciliation, position tracking, or fund operations.

Nice to Have

• Experience with C++ or other compiled languages like Rust, Go, or Java.
• Familiarity with AWS, particularly AWS Lambda or similar cloud-based infrastructure.
• Experience with prediction markets, sports data, betting markets, or odds.
• Knowledge of building backtesting, simulation, or pricing systems.
• Experience with market data infrastructure or low-latency trading systems.
• Understanding of blockchain, crypto exchanges, or decentralized trading platforms.
• Experience deploying quantitative or machine-learning models into production.