Senior Quant Developer - Trading Systems (FT-WW)

• 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.

English・Professional, * 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., * 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.