Data.

Pentasia is partnering with an exciting high-growth online sweepstakes business that has recently completed a major rebrand and is entering its next phase of expansion. As the business continues to scale, they are seeking a Director, Product & Commercial Analytics to become a key member of the leadership team. Reporting directly to the General Manager, this role will sit at the centre of commercial decision-making, helping shape product strategy, player growth, retention, payments performance, profitability, and overall business success. This is far more than a reporting function. The successful candidate will use data to influence strategic decisions, challenge assumptions, identify growth opportunities, and provide leadership with the insights needed to scale a profitable and sustainable gaming business. Key Responsibilities Commercial & Player Analytics Own and optimise key business metrics including LTV, ROAS, retention, profitability, player value and cohort performance. Evaluate acquisition quality, CRM effectiveness, VIP performance and player lifecycle activity. Develop frameworks that support investment and resource allocation decisions. Product & Gaming Analytics Partner with Product and Operations teams to assess game performance, promotional effectiveness, loyalty initiatives and personalisation strategies. Analyse engagement, conversion, retention and monetisation metrics. Support commercial decision-making through supplier and content performance analysis. Payments, Risk & Sweepstakes Economics Analyse payments performance, fraud trends, chargebacks, KYC outcomes and redemption behaviour. Evaluate sweepstakes economics and identify indicators of operational or compliance risk. Help ensure growth remains healthy, scalable and sustainable. Forecasting & Strategic Decision Support Build forecasting models across acquisition, retention, revenue and profitability. Support budgeting, planning and scenario analysis. Develop executive reporting frameworks and KPI governance processes. Deliver strategic recommendations that directly impact business performance. What We're Looking For Required 5+ years of experience within analytics, strategy, product analytics, gaming analytics or a related field. Strong SQL and business intelligence expertise. Proven ability to translate complex data into commercial decisions. Experience partnering with senior stakeholders and cross-functional teams. Excellent communication, analytical and problem-solving skills. Preferred Experience within Sweepstakes, Social Casino or iGaming. Knowledge of player value modelling, CRM analytics, payments, fraud or retention. Experience with forecasting, experimentation and statistical analysis. Familiarity with tools such as Snowflake, Databricks, Power BI, Tableau or Python. Why Join? This is a rare opportunity to join a rapidly scaling gaming business at a pivotal stage of growth. You will work directly with executive leadership, influence strategic direction, and build the analytical foundations that drive long-term commercial success.

Data Engineer A fast-growing AI technology company is looking for a Data Engineer to design, build and maintain scalable data pipelines supporting real-time products and data science initiatives. London-based hybrid role, with office attendance in Piccadilly 3 days/week.  Salary: £55,000–£60,000 + annual bonus and enhanced pension. Main Responsibilities: •    Build scalable and reliable ETL processes and data pipelines using multiple data sources.  •    Partner with data scientists to deploy models and analytics workflows into production.  •    Support the design and maintenance of the company’s data architecture.  •    Improve real-time systems, platform stability and ETL reliability.  •    Monitor and enhance data quality, performance and scalability.  Desired experience: •    Experience building scalable ETL processes and data pipelines.  •    Advanced Python for data processing. Candidates must be comfortable writing performant, production-grade code and clearly explaining it.  •    Experience with pandas, including transformations, joins, aggregations and large datasets.  •    SQL & Git.  •    Experience with cloud (Azure, AWS etc).  •    Ability to commute to the London office three days per week.  •    Experience with Airflow, Dagster, Jenkins, Tableau, Power BI, Synapse, Snowflake, Docker, RabbitMQ, Kafka or Spark would be advantageous, but is not mandatory.

Overview An opportunity to join a fast-growing, fully remote market maker focused on prediction markets. The business combines strong financial backing and industry expertise with the agility of a startup. The team is lean, highly technical, and focused on building high-performance trading systems through pragmatic engineering and rapid iteration. This is an opportunity to play a key role in shaping trading strategy, with direct ownership of performance, data, and execution. The Role This is a hands-on, live trading role overseeing highly automated strategies within sports prediction markets. You will be responsible for monitoring and improving real-time trading performance, identifying edge, and safely deploying strategy enhancements into production environments. The position is directly tied to live US sports markets and requires flexibility, including evenings and weekends, as part of a shared team rotation. Key Responsibilities Oversee live automated trading: Monitor real-time performance, exposure, and risk across markets during live sporting events, adjusting algorithmic parameters where required and intervening when necessary Improve trading strategy: Research, prototype, and validate pricing improvements, signal enhancements, and risk logic Own strategy rollout: Deploy updates through controlled methods, measure impact, and iterate based on performance Analyse trading data: Build and maintain reporting to track P&L attribution, fill quality, slippage, exposure, and model performance Backtesting & simulation: Validate all changes rigorously before applying to live markets Collaborate with engineering: Work closely with developers to translate strategy into production systems and improve trading infrastructure Contribute to product design: Apply trader insight to how markets are structured, priced, and settled Requirements Experience in sports betting, financial trading, or prediction markets Strong understanding of probability, expected value, and market dynamics Ability to work with data using Python and/or SQL Comfortable contributing to or working alongside production trading systems Quantitative background in Mathematics, Statistics, Computer Science, Engineering, Economics, or similar Experience analysing and interpreting large datasets Willingness to work flexible hours aligned with US sporting schedules (including evenings and weekends) Strong ownership mindset with the ability to operate in a fast-paced startup environment Curiosity and comfort working with AI tools to enhance research and analysis Domain Experience (One or More) Sportsbook or betting operator (trading, pricing, risk, or trading operations) Personal betting track record with demonstrable edge Financial markets or systematic trading background Nice to Have Experience with prediction markets or exchange-based products Sports modelling (e.g. in-play, player props, correlated markets) Machine learning applied to trading or pricing Experience building data pipelines, dashboards, or reporting tools Exposure to C#/.NET or similar trading system environments Experience operating automated strategies in production Why Apply? Shape trading strategy from an early stage Direct ownership of performance and P&L Work with a small, high-performing and technical team Backed by a leading iGaming organisation Fully remote with flexibility across US time zones Competitive compensation with equity upside