Quantitative developer [h1.location_city]
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Quantitative developer • oakland ca
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Swish AnalyticsSan Francisco, California, United States- [job_card.full_time]
Senior Quantitative Developer
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Senior Quantitative Developer
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Swish Analytics .
Company Description
Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer / enterprise clients.
Role Overview
You’ll architect and build the core trading systems that execute our fair value models across sports betting exchanges at scale. This is a systems engineering role focused on real-time decision-making, multi-venue orchestration, and low-latency execution under production constraints.
Real‑Time Trading Engine Architecture
Design event-driven trading systems that consume fair value models and market data to make sub-second execution decisions
Build the core logic for comparing fair values against live market prices and determining when / where to trade
Implement asynchronous order generation, submission, and cancellation workflows across multiple venues with different latency profiles
Design state machines for order lifecycle management (pending, accepted, filled, cancelled, rejected) with proper event ordering and idempotency
Multi‑Venue Execution & Routing
Build venue-specific integrations (WebSocket connections to Matchbook, Kalshi; REST API adapters for Betfair; FIX protocol handlers)
Implement intelligent order routing that selects optimal venues based on liquidity, fees, latency, and position constraints
Design coordination logic for managing orders across multiple venues when a single bet spans several platforms
Handle venue-specific quirks (rate limiting, connection drops, partial fills, odds movement during submission)
Position & Risk Management Systems
Build real-time position tracking systems that aggregate exposure across all venues, markets, and event types
Implement global liability management that enforces risk limits while maximizing capital utilization
Design systems
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