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. Core Responsibilities 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 that detect and respond to position drift (when actual fills deviate from intended exposure) Create reconciliation engines that validate positions against venue reports and detect/resolve discrepancies Data & Execution Infrastructure Design data pipelines that ingest real-time market data from multiple feeds (WebSocket streams, REST polling, custom adapters) into low-latency in-memory stores Build efficient order book representation and query systems optimized for fast fair value lookups Implement message ordering and deduplication logic for ensuring consistent state across async operations Design persistent logging and event sourcing for order/trade auditing and post-incident analysis Required Qualifications Base salary: Starting at $150,000 base Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.