Trading Analyst

🕒 April 3

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Swish Analytics

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2014

🎲 Gambling

🤖 Artificial Intelligence

🤝 B2B

💰 $6.9M Series B - Swish Analytics on 2019-05

Gambling • Artificial Intelligence • B2B

Swish Analytics is a machine-learning driven sports-odds and predictive-data company that builds a real-time odds origination engine for sportsbooks and fantasy platforms. It provides hyper-accurate player prop pricing, match and team markets, in-play and pre-game projections, and automated bet-lifecycle management to power bookmaking, bet builders, parlays, and micro-markets. Swish positions itself as a B2B provider focused on automation, accuracy, and scalable odds infrastructure for the sports betting industry.

📋 Description

• Monitor live sports markets and market activity in real time across a range of sports and market types • Support the calibration and refinement of prices using market signals, statistical models, competitor benchmarking, and event-driven information • Help improve pricing quality through the analysis of market behaviour, price sensitivity, liquidity patterns, and reaction speed to new information • Contribute to the development, testing, and refinement of quantitative models by applying your understanding of live market dynamics and pricing behaviour • Own and manage real-time trading risk, including exposure monitoring, liability controls, and disciplined decision-making across concurrent events • Collaborate with engineering on trading and pricing infrastructure, including API integrations, automated monitoring, alerting, anomaly detection, and execution tooling • Work closely with Sports Trading teams to interpret breaking news, lineups, injuries, team news, and other event-specific developments to ensure timely and accurate price updates • Identify model discrepancies, edge cases, and structural inefficiencies in pricing workflows, escalating and documenting findings for Data Science and Data Engineering teams • Help evaluate market opportunities, prioritise resources across sports and competitions, and improve operational processes as the trading function scales • Detect sharp or informative market activity and ensure useful signals are fed back into Swish’s proprietary models and pricing systems • Communicate effectively with internal Sports Trading teams responsible for maintaining and improving our core sportsbook pricing models

🎯 Requirements

• Bachelor’s degree or higher in a quantitative or analytical discipline (Mathematics, Statistics, Computer Science, Economics, Engineering, Quantitative Finance, or similar), or equivalent practical experience • Strong grounding in probability, statistics, and expected value, with the ability to reason clearly about fair price, uncertainty, and risk • Hands-on experience in sports trading, sports betting, exchange-style environments, market-making, quantitative trading, or other closely related domains where fast price formation and disciplined execution matter • Strong understanding of sports betting fundamentals, including odds formats (decimal, fractional, American), implied probability conversion, expected value, and closing line value • Demonstrated ability to make high-quality decisions under time pressure with incomplete information during live events • Comfortable working autonomously across global event schedules, including weekends and major tournament periods • Fluent in English, written and spoken, with clear communication skills in a distributed and asynchronous team environment.

🏖️ Benefits

• Health insurance • Flexible work arrangements • Professional development opportunities