LoL Trading Analyst – Esports (Odds & Market Performance) (m/f/x)

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

• 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 League of Legends and the wider competitive MOBA ecosystem?

• 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 League of Legends and the wider competitive MOBA ecosystem?

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, 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 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
• Proactively identify how gameplay, patch, or rule changes could affect our models and address potential issues before they arise
• Suggest enhancements to pricing models through new algorithms or investigations with external feed providers where applicable
• Translate analytical findings into clear and compelling narratives for technical and non-technical audiences
• Ensure all processes and findings are documented to a high standard and are accessible to both technical and non-technical stakeholders
• Support ad hoc trading and market-analysis requests from the MOBA trading team

Your skills will include

• 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 the ability to retain complex information
• A positive, can-do attitude and the ability to meet deadlines
• Willingness to learn and adapt to new environments

Nice to have

• 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