We are looking for a Football Trader to join our team. The Trader will be responsible for the life-cycle of odds: from pre-match creation to in-play trading. This will involve ownership of designated competitions, pricing of in-house markets, management of markets, trading live matches, and risk management across our platform. This role combines data analysis, market awareness, and real-time decision-making to optimise trading performance and manage financial exposure.

The successful candidate should have a hunger to drive our betting offer forward coupled with a data driven approach. They should have a strong knowledge of football, sports betting markets and statistical analysis, with the ability to react quickly in fast-paced live environments.

What you'll be doing:

• Set up, price and manage a range of football markets across domestic and international competitions for both Pre Match and In Play
• Compile odds for a range of player and stats-based markets that include Shots, Fouls, Tackles, and Offsides
• Monitor and adjust odds based on market activity, team news and liabilities whilst assessing and reacting to sharp betting patterns
• Manage a diverse range of in-play football markets during live matches using the in-house soccer model - Corners, Cards, Stats and Player markets
• Ensure markets remain competitive while maintaining profitable margins
• Monitor trading tools and feeds to maintain accurate and timely market updates
• Active collaboration with Risk teams when necessary
• Conduct analyses of the markets and competitions you are responsible for - betting trends, customer behaviour, and market performance
• Work closely with quantitative analysts, product teams, and risk teams to improve trading models, tooling and platform functionality

What we are looking for:

• Strong knowledge and passion for football, including major leagues and competitions
• Experience in sportsbook trading and betting operations
• Ability to make fast, accurate decisions under pressure
• Solid understanding of probability, odds calculation, and betting markets
• Proficiency in Excel and Google Sheets and trading platforms; knowledge of Python/R is a plus
• Ability to work shifts including evenings, weekends, and major football events

Desirable Qualifications

• Degree in Mathematics, Statistics, Economics, Data Science, or a related field
• Previous experience with in-play trading systems or automated trading tools
• Knowledge of multiple sports betting markets (Totals, Player Props, Stats markets etc.)

We are looking for a Football Trader to join our team. The Trader will be responsible for the life-cycle of odds: from pre-match creation to in-play trading. This will involve ownership of designated competitions, pricing of in-house markets, management of markets, trading live matches, and risk management across our platform. This role combines data analysis, market awareness, and real-time decision-making to optimise trading performance and manage financial exposure.

The successful candidate should have a hunger to drive our betting offer forward coupled with a data driven approach. They should have a strong knowledge of football, sports betting markets and statistical analysis, with the ability to react quickly in fast-paced live environments.

What you'll be doing:

• Set up, price and manage a range of football markets across domestic and international competitions for both Pre Match and In Play
• Compile odds for a range of player and stats-based markets that include Shots, Fouls, Tackles, and Offsides
• Monitor and adjust odds based on market activity, team news and liabilities whilst assessing and reacting to sharp betting patterns
• Manage a diverse range of in-play football markets during live matches using the in-house soccer model - Corners, Cards, Stats and Player markets
• Ensure markets remain competitive while maintaining profitable margins
• Monitor trading tools and feeds to maintain accurate and timely market updates
• Active collaboration with Risk teams when necessary
• Conduct analyses of the markets and competitions you are responsible for - betting trends, customer behaviour, and market performance
• Work closely with quantitative analysts, product teams, and risk teams to improve trading models, tooling and platform functionality

What we are looking for:

• Strong knowledge and passion for football, including major leagues and competitions
• Experience in sportsbook trading and betting operations
• Ability to make fast, accurate decisions under pressure
• Solid understanding of probability, odds calculation, and betting markets
• Proficiency in Excel and Google Sheets and trading platforms; knowledge of Python/R is a plus
• Ability to work shifts including evenings, weekends, and major football events

Desirable Qualifications

• Degree in Mathematics, Statistics, Economics, Data Science, or a related field
• Previous experience with in-play trading systems or automated trading tools
• Knowledge of multiple sports betting markets (Totals, Player Props, Stats markets etc.)

We are looking for a Football Trader to join our team. The Trader will be responsible for the life-cycle of odds: from pre-match creation to in-play trading. This will involve ownership of designated competitions, pricing of in-house markets, management of markets, trading live matches, and risk management across our platform. This role combines data analysis, market awareness, and real-time decision-making to optimise trading performance and manage financial exposure.

The successful candidate should have a hunger to drive our betting offer forward coupled with a data driven approach. They should have a strong knowledge of football, sports betting markets and statistical analysis, with the ability to react quickly in fast-paced live environments.

What you'll be doing:

• Set up, price and manage a range of football markets across domestic and international competitions for both Pre Match and In Play
• Compile odds for a range of player and stats-based markets that include Shots, Fouls, Tackles, and Offsides
• Monitor and adjust odds based on market activity, team news and liabilities whilst assessing and reacting to sharp betting patterns
• Manage a diverse range of in-play football markets during live matches using the in-house soccer model - Corners, Cards, Stats and Player markets
• Ensure markets remain competitive while maintaining profitable margins
• Monitor trading tools and feeds to maintain accurate and timely market updates
• Active collaboration with Risk teams when necessary
• Conduct analyses of the markets and competitions you are responsible for - betting trends, customer behaviour, and market performance
• Work closely with quantitative analysts, product teams, and risk teams to improve trading models, tooling and platform functionality

What we are looking for:

• Strong knowledge and passion for football, including major leagues and competitions
• Experience in sportsbook trading and betting operations
• Ability to make fast, accurate decisions under pressure
• Solid understanding of probability, odds calculation, and betting markets
• Proficiency in Excel and Google Sheets and trading platforms; knowledge of Python/R is a plus
• Ability to work shifts including evenings, weekends, and major football events

Desirable Qualifications

• Degree in Mathematics, Statistics, Economics, Data Science, or a related field
• Previous experience with in-play trading systems or automated trading tools
• Knowledge of multiple sports betting markets (Totals, Player Props, Stats markets etc.)

We are looking for a Football Trader to join our team. The Trader will be responsible for the life-cycle of odds: from pre-match creation to in-play trading. This will involve ownership of designated competitions, pricing of in-house markets, management of markets, trading live matches, and risk management across our platform. This role combines data analysis, market awareness, and real-time decision-making to optimise trading performance and manage financial exposure.

The successful candidate should have a hunger to drive our betting offer forward coupled with a data driven approach. They should have a strong knowledge of football, sports betting markets and statistical analysis, with the ability to react quickly in fast-paced live environments.

What you'll be doing:

• Set up, price and manage a range of football markets across domestic and international competitions for both Pre Match and In Play
• Compile odds for a range of player and stats-based markets that include Shots, Fouls, Tackles, and Offsides
• Monitor and adjust odds based on market activity, team news and liabilities whilst assessing and reacting to sharp betting patterns
• Manage a diverse range of in-play football markets during live matches using the in-house soccer model - Corners, Cards, Stats and Player markets
• Ensure markets remain competitive while maintaining profitable margins
• Monitor trading tools and feeds to maintain accurate and timely market updates
• Active collaboration with Risk teams when necessary
• Conduct analyses of the markets and competitions you are responsible for - betting trends, customer behaviour, and market performance
• Work closely with quantitative analysts, product teams, and risk teams to improve trading models, tooling and platform functionality

What we are looking for:

• Strong knowledge and passion for football, including major leagues and competitions
• Experience in sportsbook trading and betting operations
• Ability to make fast, accurate decisions under pressure
• Solid understanding of probability, odds calculation, and betting markets
• Proficiency in Excel and Google Sheets and trading platforms; knowledge of Python/R is a plus
• Ability to work shifts including evenings, weekends, and major football events

Desirable Qualifications

• Degree in Mathematics, Statistics, Economics, Data Science, or a related field
• Previous experience with in-play trading systems or automated trading tools
• Knowledge of multiple sports betting markets (Totals, Player Props, Stats markets etc.)

We are looking for a Football Trader to join our team. The Trader will be responsible for the life-cycle of odds: from pre-match creation to in-play trading. This will involve ownership of designated competitions, pricing of in-house markets, management of markets, trading live matches, and risk management across our platform. This role combines data analysis, market awareness, and real-time decision-making to optimise trading performance and manage financial exposure.

The successful candidate should have a hunger to drive our betting offer forward coupled with a data driven approach. They should have a strong knowledge of football, sports betting markets and statistical analysis, with the ability to react quickly in fast-paced live environments.

What you'll be doing:

• Set up, price and manage a range of football markets across domestic and international competitions for both Pre Match and In Play
• Compile odds for a range of player and stats-based markets that include Shots, Fouls, Tackles, and Offsides
• Monitor and adjust odds based on market activity, team news and liabilities whilst assessing and reacting to sharp betting patterns
• Manage a diverse range of in-play football markets during live matches using the in-house soccer model - Corners, Cards, Stats and Player markets
• Ensure markets remain competitive while maintaining profitable margins
• Monitor trading tools and feeds to maintain accurate and timely market updates
• Active collaboration with Risk teams when necessary
• Conduct analyses of the markets and competitions you are responsible for - betting trends, customer behaviour, and market performance
• Work closely with quantitative analysts, product teams, and risk teams to improve trading models, tooling and platform functionality

What we are looking for:

• Strong knowledge and passion for football, including major leagues and competitions
• Experience in sportsbook trading and betting operations
• Ability to make fast, accurate decisions under pressure
• Solid understanding of probability, odds calculation, and betting markets
• Proficiency in Excel and Google Sheets and trading platforms; knowledge of Python/R is a plus
• Ability to work shifts including evenings, weekends, and major football events

Desirable Qualifications

• Degree in Mathematics, Statistics, Economics, Data Science, or a related field
• Previous experience with in-play trading systems or automated trading tools
• Knowledge of multiple sports betting markets (Totals, Player Props, Stats markets etc.)

We are looking for a Football Trader to join our team. The Trader will be responsible for the life-cycle of odds: from pre-match creation to in-play trading. This will involve ownership of designated competitions, pricing of in-house markets, management of markets, trading live matches, and risk management across our platform. This role combines data analysis, market awareness, and real-time decision-making to optimise trading performance and manage financial exposure.

The successful candidate should have a hunger to drive our betting offer forward coupled with a data driven approach. They should have a strong knowledge of football, sports betting markets and statistical analysis, with the ability to react quickly in fast-paced live environments.

What you'll be doing:

• Set up, price and manage a range of football markets across domestic and international competitions for both Pre Match and In Play
• Compile odds for a range of player and stats-based markets that include Shots, Fouls, Tackles, and Offsides
• Monitor and adjust odds based on market activity, team news and liabilities whilst assessing and reacting to sharp betting patterns
• Manage a diverse range of in-play football markets during live matches using the in-house soccer model - Corners, Cards, Stats and Player markets
• Ensure markets remain competitive while maintaining profitable margins
• Monitor trading tools and feeds to maintain accurate and timely market updates
• Active collaboration with Risk teams when necessary
• Conduct analyses of the markets and competitions you are responsible for - betting trends, customer behaviour, and market performance
• Work closely with quantitative analysts, product teams, and risk teams to improve trading models, tooling and platform functionality

What we are looking for:

• Strong knowledge and passion for football, including major leagues and competitions
• Experience in sportsbook trading and betting operations
• Ability to make fast, accurate decisions under pressure
• Solid understanding of probability, odds calculation, and betting markets
• Proficiency in Excel and Google Sheets and trading platforms; knowledge of Python/R is a plus
• Ability to work shifts including evenings, weekends, and major football events

Desirable Qualifications

• Degree in Mathematics, Statistics, Economics, Data Science, or a related field
• Previous experience with in-play trading systems or automated trading tools
• Knowledge of multiple sports betting markets (Totals, Player Props, Stats markets etc.)

We are looking for a Football Trader to join our team. The Trader will be responsible for the life-cycle of odds: from pre-match creation to in-play trading. This will involve ownership of designated competitions, pricing of in-house markets, management of markets, trading live matches, and risk management across our platform. This role combines data analysis, market awareness, and real-time decision-making to optimise trading performance and manage financial exposure.

The successful candidate should have a hunger to drive our betting offer forward coupled with a data driven approach. They should have a strong knowledge of football, sports betting markets and statistical analysis, with the ability to react quickly in fast-paced live environments.

What you'll be doing:

• Set up, price and manage a range of football markets across domestic and international competitions for both Pre Match and In Play
• Compile odds for a range of player and stats-based markets that include Shots, Fouls, Tackles, and Offsides
• Monitor and adjust odds based on market activity, team news and liabilities whilst assessing and reacting to sharp betting patterns
• Manage a diverse range of in-play football markets during live matches using the in-house soccer model - Corners, Cards, Stats and Player markets
• Ensure markets remain competitive while maintaining profitable margins
• Monitor trading tools and feeds to maintain accurate and timely market updates
• Active collaboration with Risk teams when necessary
• Conduct analyses of the markets and competitions you are responsible for - betting trends, customer behaviour, and market performance
• Work closely with quantitative analysts, product teams, and risk teams to improve trading models, tooling and platform functionality

What we are looking for:

• Strong knowledge and passion for football, including major leagues and competitions
• Experience in sportsbook trading and betting operations
• Ability to make fast, accurate decisions under pressure
• Solid understanding of probability, odds calculation, and betting markets
• Proficiency in Excel and Google Sheets and trading platforms; knowledge of Python/R is a plus
• Ability to work shifts including evenings, weekends, and major football events

Desirable Qualifications

• Degree in Mathematics, Statistics, Economics, Data Science, or a related field
• Previous experience with in-play trading systems or automated trading tools
• Knowledge of multiple sports betting markets (Totals, Player Props, Stats markets etc.)

Let's start with the role

Our team is growing and we are looking for a Pre Event Team Leader (Multi Sports). If you are an experienced trading professional with a deep understanding of Tennis and other racket sports, and you are ready to step up and lead a team of dedicated traders, this is the right opportunity for you. 

The position sits within the Pre Event Sports team, where you will drive the trading and risk management strategy for racket sports, ensuring your team delivers a high-caliber customized betting offer and a best-in-class user experience while hitting strategic margin targets.

• Oversee Pre Event Trading activity for Tennis and other racket sports, ensuring all guidelines, instructions, and directions are followed by team members;
• Develop the Pre Event trading and risk management strategy for your sports, in conjunction with Management, to ensure margins and targets are met;
• Assign and delegate projects and responsibilities to traders, ensuring efficient and fair workload distribution ;
• Define margin strategies  and targets to accurately forecast and drive future performance;
• Analyze sports performance and report to Trading Management;
• Evaluate traders’ performance, set developmental plans, and ensure your team has the necessary knowledge and skills to perform effectively;
• Assess the department's needs (both personnel and tools);
• Collaborate closely with other Pre Event Team Leaders to achieve cross-departmental alignment.

What you’ll bring:

• A degree in Statistics, Applied Mathematics, or a similar quantitative field is considered a strong plus;
• 5+ years of experience in Trading roles with strong knowledge of Odds Compiling Principles and Risk Management;
• Expertise and genuine passion for Tennis and other racket sports (Table Tennis, Badminton, etc.);
• Leadership qualities with the ability to mentor, evaluate, and develop a high-performing team;
• Strong business acumen and the ability to define margin strategies and targets;
• Proficiency in MS Office, G-Suite, and various betting platforms/tools ;
• Excellent interpersonal skills and strong communication in Business English (both written and verbal);
• A self-organized, highly adaptable mindset, capable of thriving in a  fast-paced, constantly evolving environment;
• Willingness to work flexible time shifts in line with the business and sports calendar requirements.

Kaizen Gaming Perks

• 🕑 Hybrid way of working
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay and bonus scheme
• 👩‍⚕️ Private health insurance for you and your family
• 💰 Monthly meal allowance 
• ⭐Developmental 360° feedback framework
• 📚 Unlimited access to Udemy & continuous training
• 👨‍👩‍👧‍👦 Family Support 
• #LI-Hybrid
• #LI-DK1

Let's start with the role

As a Senior AI Data Governance Analyst, you will be a key member of the Data/AI Governance team, supporting the design and implementation of a robust AI governance framework across the organization. You will work closely with both business and technical stakeholders to ensure the quality, consistency, availability, and compliance of AI models/apps, critical in the highly regulated betting and gaming industry.

• Contribute to the development and enforcement of AI governance policies, standards, and procedures;
• Support the implementation of AI metadata management, data lineage, and AI/Data quality frameworks;
• Profile datasets to assess its accuracy, completeness, consistency, integrity, etc in order to be usable for AI implementations;
• Identify and document AI quality issues and propose corrective actions;
• Monitor and analyze AI quality KPIs and support AI remediation initiatives;
• Update and maintain AI quality dashboards or reports to monitor KPIs and communicate trends to stakeholders;
• Participate in cross-functional meetings to align on AI governance priorities;
• Maintain and enhance AI business glossaries, AI data dictionaries, and AI  catalogs;
• Collaborate with AI/Data owners, AI/Data stewards, and AI custodians to promote AI governance best practices;
• Assist with compliance-related AI & Data initiatives (e.g., EU AI Act, GDPR, AML, Responsible Gaming reporting);
• Evaluate and support AI/Data governance tools (e.g., Atlan, Collibra, Informatica, Microsoft Purview);
• Contribute to the evolution of the AI Governance framework and best practices.

What you’ll bring:

• Bachelor’s or Master’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, or Operations Research. Specialization or demonstrated experience in Artificial Intelligence will be considered a strong plus;
• 4+ years of experience in a data quality, data management, reporting, statistical or quantitative role. Experience in data governance roles will be considered a plus;
• Strong working knowledge of AI frameworks and dimensions;
• Understanding of core AI & Data governance concepts and regulatory requirements;
• Ability to clearly document technical and business concepts;
• Relevant experience with BI/analytics tools (e.g., Power BI, Tableau) and AI/Data Governance or quality tools (e.g. Atlan, Informatica, etc) will be considered a plus;
• Strong SQL skills, highly advanced with MS-Excel (pivot tables, v-lookups) and G Suite experience;
• Strong understanding of AI models/apps, data architecture, especially within cloud data platforms;
• Strong communication skills and the ability to work with cross-functional teams. Experience managing stakeholders at various levels;
• Strong analytical mindset, with attention to detail and a commitment to AI & Data quality;
•  Ability to prioritize tasks effectively, meet deadlines and identify opportunities with limited oversight, while aligning with business goal;
• Experience in a regulated industry (e.g. betting, fintech, healthcare, telco) is a strong plus;
• High drive, a can-do attitude, proactiveness and adaptability to changing business demands.

Kaizen Gaming Perks

• 🕑 Hybrid way of working;
• 🏃 A buddy will support you with your onboarding;
• 💸 Competitive pay & bonus scheme;
• ⭐Developmental 360° feedback framework;
• 💰 Monthly meal allowance;
• 👩‍⚕️ Private health insurance for you and your family;
• 📚 Unlimited access to Udemy & continuous training;
• 👨‍👩‍👧‍👦 Family Support.
• #LI-Hybrid
• #LI-GP2