Support the modelling and trading teams by analysing MOBA match data and market behaviour to improve odds accuracy, market efficiency, and operational decision-making.You will work closely with live and pre-match traders across MOBA titles, with a particular focus on League of Legends, to identify anomalies, optimise odds, monitor performance, and provide insights that directly impact P&L across GRID’s MOBA betting products.What you will do Analyse MOBA match behaviour to improve pricing accuracy and market efficiencyConduct variance analyses and trading performance reviewsValidate and monitor odds models for MOBA titles under real trading conditionsDetect model drift, pricing inefficiencies, and performance anomalies affecting P&LPrepare actionable insights to support traders and trading decisionsMonitor competitor offerings and identify opportunities to improve trading strategiesAnalyse match outcomes, meta shifts, patch changes, draft trends, and gameplay developmentsEvaluate League of Legends-specific factors such as champion drafts, item builds, map objectives, team compositions, gold advantages, and macro strategyProactively identify how gameplay, patch, or rule changes could affect our models and address potential issues before they ariseSuggest enhancements to pricing models through new algorithms or investigations with external feed providers where applicableTranslate analytical findings into clear and compelling narratives for technical and non-technical audiencesEnsure all processes and findings are documented to a high standard and are accessible to both technical and non-technical stakeholdersSupport ad hoc trading and market-analysis requests from the MOBA trading teamYour skills will include 3+ years of experience in sports betting, trading, quantitative analysis, or a related fieldDeep understanding of League of Legends, including champion mechanics, item builds, drafting, map objectives, team compositions, macro strategy, tournament formats, and player behaviourStrong knowledge of the professional League of Legends ecosystem, including regional leagues, tournament structures, current meta trends, and patch-driven gameplay changesSolid understanding of trading fundamentals, including pricing, margin, overround, and risk modelsStrong statistical, mathematical, and analytical skills, with practical applications in pricing and riskExperience with statistical modelling and data analysisStrong attention to detail and the ability to retain complex informationA positive, can-do attitude and the ability to meet deadlinesWillingness to learn and adapt to new environmentsNice to haveKnowledge of other competitive MOBA titles and esports ecosystemsBachelor’s degree in Mathematics, Statistics, Economics, Data Science, or a related fieldFamiliarity with machine-learning concepts and applicationsSQL skills or experience with Python, R, or similar analytical tools
8 days ago