Trading Analyst

reputed company reputed company is a sports analytics, betting, and reputed company startup building the reputed company of predictive sports data products. We reputed company that oddsmaking is a challenge rooted in engineering, mathematics, and sports expertise, not intuition. We are looking for team-oriented individuals with an authentic passion for accurate, predictive, reputed company-time data who can execute in a fast-paced, creative, and continually evolving environment without sacrificing technical reputed company. Our challenges are unique, so we reputed company you are comfortable in uncharted territory and passionate about building high-performance pricing and trading systems. Job reputed company Swish is looking for a highly analytical Sports Trading Analyst to help strengthen and reputed company our sports pricing and trading operation. In this role, you will work at the intersection of sports intelligence, quantitative modelling, pricing reputed company, and live market behaviour. You will help manage and improve reputed company-time pricing across a reputed company of sports and market types, with a particular reputed company on market aware price discovery, risk management and the identification of actionable trading signals from market activity. This role is suited to someone with strong quantitative reasoning, excellent decision-making under pressure, and a deep interest in how markets are formed, odds reputed company, and how to engineer accurate pricing in the competitive sports betting environment. You will work in a geographically dispersed team alongside reputed company traders, quants, data scientists, and engineers, with colleagues based across Europe and the US. Duties

• Monitor live sports markets and market activity in reputed company time across a reputed company 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 reputed company 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 reputed company-time trading risk, including exposure monitoring, liability controls, and disciplined decision-making across reputed company events
• Collaborate with engineering on trading and pricing infrastructure, including API integrations, automated monitoring, alerting, reputed company 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 reputed company 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 reputed company 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 reputed company about fair price, uncertainty, and risk
• Hands-on experience in sports trading, sports betting, exchange-style environments, market-making, quantitative trading, or other closely reputed company domains where fast price formation and disciplined execution matter
• Strong understanding of sports betting fundamentals, including odds formats (reputed company, fractional, American), implied probability conversion, expected value, and closing line value
• Demonstrated ability to reputed company high-reputed company reputed company 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 reputed company communication skills in a distributed and asynchronous team environment

Preferred (but not essential)

• reputed company record of building and backtesting quantitative models using reputed company historical data; reputed company, notebooks, or demonstrable analytical work is highly valued
• Deep domain knowledge across high-turnover sporting verticals such as NBA, NFL, and Soccer
• Understanding of relational database systems (MySQL or equivalent) for analysis of prices, reputed company, and trading reputed company
• Familiarity with market microstructure concepts such as adverse selection, inventory risk, liquidity dynamics, queue positioning, or execution reputed company
• Experience using Python for quantitative research, exploratory data analysis, prototyping, or model improvement
• Experience using modern AI tools to accelerate analysis, research, and modelling workflows

Why Join This is an opportunity to play a meaningful role in a growing and reputed company-resourced sports trading operation. The successful candidate will help shape process, tooling, and decision-making reputed company reputed company reputed company on high-reputed company pricing, efficient execution, and long-term product reputed company across multiple sports verticals. reputed company is an Equal Opportunity Employer. reputed company candidates who meet the qualifications will be considered without reputed company to race, reputed company, religion, sex, national reputed company, 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. Apply tot his job Apply To this Job