Can you identify pricing inefficiencies in MOBA markets by combining game knowledge with data analysis?
Do you thrive on turning messy match data into actionable insights that improve odds models?
Are you passionate about Dota 2 and the growing Honor of Kings competitive scene?
If the answers to the above questions are yes, then this role could be ideal for you!
About the role
Support the modelling and trading teams by analysing MOBA match data and market behaviour to improve odds accuracy and operational decisions, as well as performance monitoring for GRID's esports betting products across MOBA titles
Support the analysis of MOBA markets and match data to directly improve pricing, market efficiency, and trading performance. Work closely with live and pre-match traders on MOBA titles to identify anomalies, optimise odds, and support decision-making that impacts P&L across GRID's MOBA product lines.
Requirements
What you will do
Analyse MOBA matches behaviour to improve pricing accuracy and market efficiency
Conduct variance analysis and trading performance reviews
Validate and monitor odds models for MOBA titles under real trading conditions
Detect model drift, pricing inefficiencies, and performance anomalies impacting P&L
Prepare actionable insights for traders and trading decision-making
Monitor competitor offerings and identify opportunities to improve trading strategies
Analyse MOBA match outcomes, meta shifts, patch changes, and gameplay trends
Proactively use your esports knowledge to spot where rule changes will impact our models in order to highlight and fix problems before they arise
Suggest ways to enhance pricing models via new algorithms, or by investigating with external feed providers where applicable
Translate analytical findings into clear, compelling narratives for both technical and non-technical audiences.
Ensure that all processes are documented to a high standard and are ready for both technical and non-technical consumption
Support ad-hoc trading or market analysis requests from the MOBA trading team
Your skills will include
3+ years experience in sports betting, trading, or quantitative analysis
Statistical modelling and skills in data analytics
Deep understanding of Dota 2: hero mechanics, item builds, tournament formats
Good knowledge of LoL,including match dynamics, maps, and player behaviour
Solid understanding of trading fundamentals: pricing, margin, overround, and risk models
Strong attention to detail and ability to retain information
Strong statistical, mathematical, and analytical skills with practical application to pricing and risk
Positive ‘can do’ attitude, and ability to meet deadlines
Willingness to learn and adapt to new environments
Nice to have
Interest in competitive gaming and esports ecosystems
Bachelor's degree in Mathematics, Statistics, Economics, Data Science, or related field
Familiarity with machine learning concepts and applications
SQL skills or experience with Python, R, or similar tools is a plus
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