LoL MOBA Trading Analyst - Odds, Data & Insights

GRID esports; Poland; On-site; PLN 120,000 - 220,000; Full time

Job summary

GRID esports in Poland is seeking a data-driven professional to model and trade MOBA markets, focusing on League of Legends and related pricing strategies. You will work with live and pre-match traders to identify anomalies, optimise odds, and deliver insights that influence P&L across GRID’s MOBA betting products.

A strong quantitative background and LoL knowledge are essential. The role emphasizes collaboration, rapid analysis, and clear communication of complex results to traders and

Qualifications

• 3+ years of experience in sports betting, trading, quantitative analysis or a related field.
• Deep understanding of League of Legends, champion mechanics, drafting, macro strategy, and professional ecosystem.
• Strong statistical, mathematical, and analytical skills with pricing and risk applications.
• Experience with statistical modelling and data analysis.

Responsibilities

• 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 LoL-specific factors such as drafts, builds, objectives, team compositions, and macro strategy.
• Proactively identify how gameplay changes could affect models and address issues early.
• Suggest enhancements to pricing models and investigate external feeds when applicable.
• Translate analytical findings into narratives accessible to technical and non-technical audiences.
• Ensure processes and findings are well documented for stakeholders.

Skills

Sports betting

Trading

Quantitative analysis

League of Legends knowledge

Pricing and risk modelling

Statistical analysis

Data analysis

Communication to non-technical

Problem solving

Learning/adaptability

Education

Bachelor’s degree in Mathematics, Statistics, Economics, Data Science, or related field

Tools

SQL

Python

R

Job description

GRID esports in Poland is seeking a data-driven professional to model and trade MOBA markets, focusing on League of Legends and related pricing strategies. You will work with live and pre-match traders to identify anomalies, optimise odds, and deliver insights that influence P&L across GRID’s MOBA betting products.

A strong quantitative background and LoL knowledge are essential. The role emphasizes collaboration, rapid analysis, and clear communication of complex results to traders and