iGaming

A leading digital marketing agency within the I-Gaming sector is looking for a PPC Manager to lead a growing team. You will be highly driven and used to working in a fast paced environment. You will have I-Gaming experience and be hands on setting up, running, optimizing and reporting  PPC campaigns for multiple brands in multiple territories and juristications. You will also have team management experience where you have developed team members and enabled people to grow and develop both in person and remote. If this sounds like your next move then please get in touch for more information.

Title - Game Producer - Slots  Salary - Competitive depending on experience Location - Europe  Structure - Remote  Here at Pentasia, we are partnered with a very exciting slots studio currently looking to expand their team. This time I'm looking for a Game Producer to join on a fully remote basis (Employee of record or B2B).  Key experience  - Previous experience in slot production with a track record of successful launches.  - Deep understanding of slot games and industry trends. If interested, don't hesitate to reach out or click the link below for more information.

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