Grid.Recruitee.Com

- Do you enjoy helping customers with complex issues? - Are you a champion of customer-first processes? - Do you have an interest in competitive video gaming? If the answers to the above questions are yes, then this role could be ideal for you! In this role, you will join the Support Organization at GRID, a team of customer-facing Support Operators across the globe, where a professional client-first mentality is crucial to delivering customer service excellence. You will work closely with sportsbook customers and internal stakeholders to support the delivery of GRID's Odds products and trading-related services. You will be responsible for investigating customer queries and operational alerts, communicating directly with customers, and supporting the resolution of issues affecting GRID's Odds products. What you will do - Act as the primary point of contact for sportsbook customers regarding GRID's Odds products and trading-related services - Respond to customer queries and operational alerts, ensuring issues are acknowledged and investigated in a timely manner - Support customers with questions related to fixture coverage, market coverage, market availability, settlement, and product behavior - Gather and validate information to determine the nature and impact of customer-reported issues - Escalate issues to the appropriate internal teams when necessary - Help improve the GRID product suite based on customer feedback and defects you've identified - Log and track operational, product, and service issues - Continuously develop your knowledge of esports, sportsbook operations, betting markets, and GRID products to enhance service quality and decision-making - Contribute daily to our knowledge base to share your knowledge with GRID employees, partners, and customers Your skills will include - Previous experience in customer-facing Support, Operations, or similar roles - Strong attention to detail - Excellent written and verbal communication skills - Ability to learn new products, services, and operational workflows quickly - Ability to investigate issues and gather relevant information - Strong problem-solving skills - Experience with collaborative tools such as Slack, G-Suite, Jira, and Teams - Interest in esports, betting, or data-driven products - Ability to work effectively in a fast-paced operational environment - Available to work shifts and weekends if required - Excellent written and spoken English, with other languages a plus Nice to have - Experience working in sportsbook, betting, or trading environments - Understanding of betting markets and settlement processes - Understanding of esports tournament structures, formats, and rules - Experience supporting B2B customers - Familiarity with data feeds, APIs, or technical products

- 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 Dota 2 and the growing Honor of Kings competitive scene? 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 and operational decisions, as well as performance monitoring for GRID's esports betting products across MOBA titles Support the analysis of MOBA markets and match data to directly improve pricing, market efficiency, and trading performance. Work closely with live and pre-match traders on MOBA titles to identify anomalies, optimise odds, and support decision-making that impacts P&L across GRID's MOBA product lines. What you will do - 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 Your skills will include - 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 Nice to have - 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

- Have you independently live traded CS2 matches using in-house models, adjusting pricing in real time without external odds references? - Do you have hands-on experience identifying underperforming live pricing models and manually correcting markets to maintain high uptime (95%+ for top-tier events)? - Have you actively traded multiple FPS esports titles (CS2, Valorant, Rainbow Six, or similar) and used game-specific knowledge to inform live pricing decisions? If the answers to the above questions are yes, then this role could be ideal for you! About the role We’re looking for a skilled and experienced Live Trader to trade CS2 matches while also understanding other key shooter titles like Valorant, Rainbow Six, and more. This is a hands-on and dynamic role where you will trade matches using in-house mathematical models, making real-time adjustments to ensure markets stay balanced and competitive. You will need to quickly identify when the model isn’t performing optimally and adjust the pricing to maintain 100% uptime for general trading activities. For top-tier events, you’ll be expected to trade with 95%+ uptime, setting the pricing independently, without relying on external reference sources. In addition to managing live trading, you’ll provide critical feedback on model performance, fine-tuning strategies to optimize market efficiency. What you will do - Live trade CS2 and other FPS matches using in-house pricing models across all tiers - Monitor the model’s performance, identifying issues and adjusting pricing to ensure competitive and balanced markets Feedback on models, pricing and industry trends to relevant stakeholders - Mentor junior traders and contribute to trading best practices Conduct post-match reviews to refine predictive models and future forecasts - Offering insights on FPS titles based on deep knowledge and interest in specific areas - Support continuous improvement in trading processes, tools, and automation Your skills will include - 3+ years experience in esports trading, preferably with a strong focus on CS - Deep understanding of FPS esports titles, including game mechanics, tournament formats, teams, meta, and results - Proven track record in live trading and risk management - Strong mathematical understanding of probabilities and expected value - Analytical mindset and strong attention to detail - Ability to make quick, accurate judgments based on live match data - Flexible availability to match global esports schedules Nice to have - Hands-on experience with trading automation - Familiarity with model validation and statistical testing for pricing models - Experience mentoring junior traders

- Have you live traded MOBA matches using in-house models, and are you comfortable setting market probabilities without using external odds? - Do you have hands-on experience identifying underperforming live pricing models and manually correcting markets to maintain high uptime (95%+ for top-tier events)? - Do you enjoy working with numbers and translating game knowledge into pricing decisions? If the answers to the above questions are yes, then this role could be ideal for you! About the role We are looking for an experienced Live Trader (MOBA) to join our esports trading team, covering titles such as Dota 2, League of Legends, and similar disciplines. This is a hands-on, fast-paced role where you will manage live markets in real time using in-house models, while actively adjusting probabilities based on in-game developments. For top-tier events, you will take full ownership of your markets, maintaining high uptime and making confident, real-time decisions in a dynamic environment. Beyond live trading, you will contribute to the continuous evolution of our trading approach. What you will do - Trade live MOBA matches in real time using in-house tools and models - Monitor market performance and adjust pricing based on in-game developments - Provide clear feedback on pricing, models, and market trends - Share knowledge and support the development of junior traders - Review trading performance and identify areas for improvement - Apply strong understanding of MOBA titles, including meta and game dynamics - Contribute to improving trading processes and tools Your skills will include - 3+ years of experience in esports live trading, ideally with a focus on MOBA titles - Strong numerical and analytical skills with high attention to detail - Ability to make fast, accurate decisions in a real-time environment with incomplete information - Effective multitasking and prioritization under pressure - Solid understanding of MOBA games, including meta, patches, and in-game dynamics - High level of responsibility, reliability, and punctuality - Strong stress management and the ability to perform during high-intensity events - Upper-intermediate level of English or higher (B2+) - Flexibility to work around global esports schedules Knowledge & experience - Esports enthusiast - Deep knowledge of esports, including game mechanics and intricacies, as well as the tournament aspect (tournaments, teams, their compositions, and results) - Experience mentoring junior traders - Hands-on experience with trading automation would be a plus but not a requirement

- Do you enjoy helping customers with complex issues? - Are you a champion of customer-first processes? - Do you have an interest in competitive video gaming? If the answers to the above questions are yes, then this role could be ideal for you! In this role, you will join the Support Organization at GRID, a team of customer-facing Support Operators across the globe, where a professional client-first mentality is crucial to delivering customer service excellence. You will work closely with sportsbook customers and internal stakeholders to support the delivery of GRID's Odds products and trading-related services. You will be responsible for investigating customer queries and operational alerts, communicating directly with customers, and supporting the resolution of issues affecting GRID's Odds products. What you will do - Act as the primary point of contact for sportsbook customers regarding GRID's Odds products and trading-related services - Respond to customer queries and operational alerts, ensuring issues are acknowledged and investigated in a timely manner - Support customers with questions related to fixture coverage, market coverage, market availability, settlement, and product behavior - Gather and validate information to determine the nature and impact of customer-reported issues - Escalate issues to the appropriate internal teams when necessary - Help improve the GRID product suite based on customer feedback and defects you've identified - Log and track operational, product, and service issues - Continuously develop your knowledge of esports, sportsbook operations, betting markets, and GRID products to enhance service quality and decision-making - Contribute daily to our knowledge base to share your knowledge with GRID employees, partners, and customers Your skills will include - Previous experience in customer-facing Support, Operations, or similar roles - Strong attention to detail - Excellent written and verbal communication skills - Ability to learn new products, services, and operational workflows quickly - Ability to investigate issues and gather relevant information - Strong problem-solving skills - Experience with collaborative tools such as Slack, G-Suite, Jira, and Teams - Interest in esports, betting, or data-driven products - Ability to work effectively in a fast-paced operational environment - Available to work shifts and weekends if required - Excellent written and spoken English, with other languages a plus Nice to have - Experience working in sportsbook, betting, or trading environments - Understanding of betting markets and settlement processes - Understanding of esports tournament structures, formats, and rules - Experience supporting B2B customers - Familiarity with data feeds, APIs, or technical products

- 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. 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+ years of experience in sports betting, trading, or quantitative analysis - Statistical modeling and skills in data analytics - Strong knowledge of CS2, including match dynamics, maps, and player behavior - Experience creating and implementing sports or esports models - Strong attention to detail and ability to retain information - Deep understanding of betting markets, odds compilation, and trading principles - Strong understanding of probability theory and betting markets - 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 Nice to have - 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