MOBA Trading Analyst – Esports

🕒 May 29

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GRID esports

WebsiteLinkedInAll Job Openings

51 - 200 employees

🎮 Gaming

☁️ SaaS

💰 $10M Series A on 2021-04

Gaming • SaaS • Data Analytics

GRID esports is a data platform company that focuses on providing comprehensive data solutions for the esports industry. The company offers services to game developers, esports betting and fantasy platforms, media, and tournament organizers by connecting them with professional teams and fans through official in-game data. GRID's technology tracks every aspect of a game at the server level, offering secure and accurate data feeds, streaming, and visualizations. With partnerships with over 70 game publishers and 350 data consumers, GRID serves as a crucial hub for managing and distributing data, empowering the esports ecosystem.

📋 Description

• 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

🎯 Requirements

• 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 • 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

🏖️ Benefits

• Flexible working conditions • Mental health support • Company and team-wide events • Work travel opportunities with travel insurance • Training and development budget