LoL Trading Analyst – Esports, Odds & Market Performance

🔥 2 hours ago

🌐 Poland, Peru, +1 more countries – Remote

🇵🇱 Poland – Remote 🇵🇪 Peru – Remote 🇨🇿 Czechia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧐 Analyst

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 match behaviour to improve pricing accuracy and market efficiency • Conduct variance analyses and trading performance reviews • Validate and monitor odds models for MOBA titles under real trading conditions • Detect model drift, pricing inefficiencies, and performance anomalies affecting P&L • Prepare actionable insights to support traders and trading decisions • Monitor competitor offerings and identify opportunities to improve trading strategies • Analyse match outcomes, meta shifts, patch changes, draft trends, and gameplay developments • Evaluate League of Legends-specific factors such as champion drafts, item builds, map objectives, team compositions, gold advantages, and macro strategy • Identify how gameplay, patch, or rule changes could affect models and address potential issues proactively • Suggest enhancements to pricing models through new algorithms or investigations with external feed providers where applicable • Translate analytical findings into clear narratives for technical and non-technical audiences • Document processes and findings to a high standard and ensure accessibility to stakeholders • Support ad hoc trading and market-analysis requests from the MOBA trading team • Support modelling and trading teams by analysing MOBA match data and market behaviour to improve odds accuracy, market efficiency, and operational decision-making • Work closely with live and pre-match traders across MOBA titles, particularly League of Legends • Provide insights that directly impact P&L across GRID’s MOBA betting products

🎯 Requirements

• 3+ years of experience in sports betting, trading, quantitative analysis, or a related field • Deep understanding of League of Legends, including champion mechanics, item builds, drafting, map objectives, team compositions, macro strategy, tournament formats, and player behaviour • Strong knowledge of the professional League of Legends ecosystem, including regional leagues, tournament structures, current meta trends, and patch-driven gameplay changes • Solid understanding of trading fundamentals, including pricing, margin, overround, and risk models • Strong statistical, mathematical, and analytical skills, with practical applications in pricing and risk • Experience with statistical modelling and data analysis • Strong attention to detail and ability to retain complex information • Positive, can-do attitude and ability to meet deadlines • Willingness to learn and adapt to new environments • Knowledge of other competitive MOBA titles and esports ecosystems • Bachelor’s degree in Mathematics, Statistics, Economics, Data Science, or a related field • Familiarity with machine-learning concepts and applications • SQL skills or experience with Python, R, or similar analytical tools • Ability to work in the European timezone • Ability and willingness to work flexible hours, including evenings and weekends • Sports betting experience

🏖️ Benefits

• Flexible working conditions • Mental health support • Company and team-wide events • Work travel opportunities with travel insurance • Training and development budget • High-quality Swag/ Merch • 28+ days of vacation per year • Professional counseling for mental health, covered by the business • Self-development budget • Strong career advancement opportunities • Support from teammates for professional growth • Remote work environment • Berlin/Wroclaw office access • Travel opportunities