Experienced Quantitative Developer

This is a fully remote position, open to applicants in California.

📋 Description

• Design and construct the essential trading systems that implement our fair value models across sports betting exchanges at scale.

• Create event-driven trading systems that utilize fair value models and market data to make execution decisions in under a second.

• Develop the core logic for evaluating fair values against current market prices and determining optimal trading opportunities.

• Implement asynchronous workflows for order generation, submission, and cancellation across various venues with differing latency profiles.

• Design state machines for managing the order lifecycle (pending, accepted, filled, cancelled, rejected) with appropriate event sequencing and idempotency.

• Construct venue-specific integrations including WebSocket connections to Matchbook and Kalshi, REST API adapters for Betfair, and FIX protocol handlers.

• Implement intelligent order routing that identifies the best venues based on liquidity, fees, latency, and position constraints.

• Create coordination logic for managing orders across multiple venues when a single wager spans several platforms.

• Address venue-specific challenges such as rate limiting, connection interruptions, partial fills, and odds fluctuations during submission.

• Develop real-time position tracking systems that consolidate exposure across all venues, markets, and event types.

• Implement global liability management that upholds risk limits while maximizing capital efficiency.

• Design systems that identify and react to position drift (when actual fills diverge from intended exposure).

• Create reconciliation engines that verify positions against venue reports and identify/resolution discrepancies.

• Design data pipelines that receive real-time market data from various feeds (WebSocket streams, REST polling, custom adapters) into low-latency in-memory stores.

• Build efficient representations of order books and query systems optimized for rapid fair value retrievals.

• Implement message ordering and deduplication logic to ensure consistent states across asynchronous operations.

• Design persistent logging and event sourcing for auditing orders/trades and conducting post-incident analyses.

⛳️ Requirements

• Over 3 years of experience in developing production trading or market-making systems for betting syndicates, sharp groups, or exchanges.

• A profound understanding of the dynamics between exchanges and bookmakers, along with practical experience executing against both.

• Hands-on experience with real-time sports betting data feeds and exchange APIs integration.

• More than 3 years of production experience in Python, demonstrating expert-level skills in async/await, event loop, and concurrent execution.

• Strong expertise in designing distributed, real-time, event-driven systems.

• In-depth knowledge of database transactions, consistency models, and state management in high-throughput scenarios.

• Experience with message streaming platforms (such as Kafka or similar) for handling order and execution events.

• Proficiency in containerization (Docker), orchestration (Kubernetes), and cloud infrastructure (AWS, GCP).

🏝️ Benefits

• Competitive salary with performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Generous paid time off and flexible working hours.

• Opportunities for professional development and continuing education.

• A dynamic and inclusive work environment.