CS2 Trading Analyst - Esports Odds & Market Performance

Can you spot patterns, anomalies, and inefficiencies in the market with precision?

Do you enjoy analysing failures or incidents to improve trading decisions and strengthen automation going forward?

Do you like seeing your insights translated into better tools, models, or workflows?

If the answers to the above questions are yes, then this role could be ideal for you!

About the role

Support modelling and trading teams by analysing esports match data and market behaviour to improve odds accuracy and operational decisions, as well as performance monitoring for GRID 's esports betting products across multiple titles.

Own the analysis of esports markets and match data to directly improve pricing, market efficiency, and trading performance, with a strong focus on CS2. Work closely with live and pre-match traders to identify anomalies, optimize odds, and support decision-making that impacts P&L across GRID 's esports products.

Requirements

What you will do

Analyze esports match data and live market behaviour to improve pricing accuracy and market efficiency

Validate and monitor odds models under real trading conditions

Identify market patterns, inefficiencies, and anomalies that affect P&L

Conduct variance analysis and trading performance reviews

Prepare actionable insights and datasets for traders and trading decisions

Monitor competitor offerings and identify opportunities to improve trading strategies

Support ad-hoc trading or market analysis requests from the trading team

Proactively use your esports knowledge to spot where rule changes will impact our models in order to highlight and fix problems before they arise

Use your data analysis skills to compare historical outcomes to our current outputs, and identify the extent to which they could negatively impact the business

Suggest ways to enhance pricing models via new algorithms and/or improved coding methods, or by investigating with external feed providers where applicable

Appraise and test pricing changes to ensure only improvements are released to production

Ensure that all processes are documented to a high standard and are ready for both technical and non-technical consumption

Have the space to innovate and work on blue-sky research, to help the team be the difference in a competitive marketplace

Your skills will include

3–5 years of experience in a trading, analytics, or quantitative role, ideally within the betting and gaming industry or a comparably fast paced, data rich environment

Strong SQL skills are essential; experience with Python, R, or similar tools is a plus

Hands-on experience building and maintaining data models in tools like DBT, Databricks, or other modern data stack components

Deep understanding of trading fundamentals, including pricing, margin, and ris