Operations.

Pentasia is actively looking for Game Presenters (Relocation to Sofia)!   Role Overview Our client is hiring Game Presenters to host live online casino games from a professional studio onsite in Sofia Bulgaria. You will present games on camera, interact with players in real time, and ensure smooth game execution while maintaining high presentation standards. Full training is provided.   Key Responsibilities Host and present live games on camera Interact professionally and engagingly with players Strictly follow game rules and studio operating procedures Deliver consistent, high-quality on-camera performance Continuously develop presentation and communication skills   Requirements Full professional English High school diploma or equivalent Valid passport and willingness to relocate to the UAE Availability for rotating shifts (including nights, weekends, and public holidays) Strong on-camera presence: confident, energetic, articulate Open to receiving feedback and continuous improvement   What is offered 1100 EUR + bonus Fully paid training program Relocation package Public Transportation card Private health insurance Food vouchers Multisport Card 100% covered by the employer Modern studio environment International team Clear opportunities for career progression

Fraud Operations Manager Hybrid in Malta Salary up to €70k (DOE) Great benefits with an opportunity to work with a mature and well-known brand   We are hiring a Fraud Operations Manager to oversee fraud risk activity within a digital, high-volume iGaming environment. The role sits at the intersection of operations, risk, and compliance, with responsibility for protecting business integrity through both strategy and hands-on oversight.   >This position involves leading a small team while working closely with multiple internal functions, including compliance, finance, technology, and legal, to ensure fraud controls are embedded across the business. A key part of the role is turning data and operational insights into practical prevention measures and ongoing improvements.   >The successful candidate will be expected to take ownership of fraud monitoring frameworks, enhance detection capabilities, and ensure effective handling of financial risk events such as chargebacks and suspicious activity reviews. There is also a strong focus on maintaining robust reporting standards and supporting wider governance and audit requirements.   >In addition, the role contributes to the development and optimisation of internal fraud tools and rule sets, ensuring they remain effective against evolving threat patterns. Collaboration with external stakeholders such as vendors and regulatory bodies may also be required where relevant.   What we’re looking for Experience leading or supervising within fraud, risk, or similar operational functions(2-4 years) Strong understanding of fraud patterns, investigative thinking, and data-led decision making Ability to manage and develop a small team in a fast-paced environment Exposure to fraud tooling, monitoring systems, or rule-based detection logic Comfortable working across multiple stakeholders and functions Hands-on knowledge of AML and KYC principles Strong analytical mindset with structured problem-solving ability

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