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Quantitative Trader (Prediction Markets) — Remote Europe A fully remote trading company operating in prediction markets is looking for a Quantitative Trader to join a senior team building high-performance automated trading systems. The business is backed by an established tier 1 iGaming and sports betting operator and benefits from significant industry expertise, technology, and resources. The role is focused on overseeing highly automated live trading, improving trading strategies, identifying and validating edge, and safely rolling improvements into production. Performance will be measured through areas such as EV gains, fill quality, and trading-system uptime. This is a live-markets position. It is not a traditional 9-to-5 role, and some weekend coverage is expected as part of the trading team's shared schedule. Main Responsibilities: Monitor live automated trading, including performance, exposure, market behaviour, and risk during sporting events. Adjust algorithmic trading behaviour when required and intervene through hedging or halting when markets, models, or data behave unexpectedly. Research, test, and improve pricing, signals, quoting strategies, models, and risk logic across sports prediction markets. Manage the safe rollout of strategy changes using shadow, canary, or staged-exposure approaches. Analyse trading data including P&L attribution, fill quality, slippage, exposure, and model performance. Backtest and simulate strategy changes before they are introduced into live markets. Work closely with trading-systems engineers to translate strategy ideas into production logic and improve trading tools, controls, and guardrails. Contribute trader judgement to product decisions around instrument design, pricing, settlement, and risk. Desired experience: Strong sports betting domain knowledge is essential. Experience within a sportsbook, betting exchange, betting operator, financial trading environment, or a demonstrable personal betting track record. Good understanding of probability, statistics, expected value, edge, risk, and market dynamics. Comfortable analysing trading data using Python and/or SQL. Experience using AI tools to support research, analysis, and reporting. Python skills are sufficient for the role. C#/.NET knowledge is advantageous but not mandatory. Quantitative background through Mathematics, Computer Science, Engineering, Statistics, Economics, or equivalent practical experience. Willingness and genuine interest in working around US sporting events, including some weekends. Comfortable working with ownership and ambiguity in an early-stage environment. Experience with prediction markets, exchange-style products, sports modelling, machine learning, automated trading strategies, BI/reporting, or C#/.NET would be advantageous but is not 100% mandatory.      

Business Development Director  - iGaming  Casino Games focus - unregulated markets  Remote Role - live anywhere in the world. Well funded start up business.  World class technology solutions & leadership team.  Equity &  Autonomy  This truly is an exciting opportunity for a professional person to join this new start - up company. It is has fully utilised world leading technologies, it is well funded by well known reputable stakeholders and it has some of the best brains in the sector leading it! The best part is the role is 100% remote and this company can offer equity to the lucky candidate who secures the role.  The person in the role will report to the CBO and can be based anywhere in the world. The person in the role will focus on initially selling the company's leading edge range of crash and instant games(amongst others) to the crypto casino and the .com gaming operators. Unlike other roles, in this role you will continue to manage accounts you bring on and develop them further.     Candidates will have s a proven track record of closing deals and have at least 3 years B2B sales experience selling into the crypto and or .com operators. You will also need to possess good communication, negotiation skills, and be a self starter who can manage his/her time effectively.  To discuss this exciting opportunity please contact Karl Harenburg at Pentasia.       

About the Company Our client is an exciting new venture operating at the intersection of prediction markets, trading, and technology. Backed by a tier-one industry operator and led by a team of highly respected market veterans, they are building next-generation market-making and trading infrastructure designed for high performance, scalability, and rapid innovation. This is a rare opportunity to join a well-funded startup from the ground floor, working alongside an experienced team in a remote-first environment where engineers are trusted to make a meaningful impact from day one. The Opportunity As a Senior Software Engineer, you will play a key role in designing and building the core systems that power the firm's prediction market trading platform. This includes exchange connectivity, market data infrastructure, order routing, risk controls, and other critical trading services. You will be part of a lean, highly technical team focused on solving complex engineering challenges in a real-time, data-intensive environment. Key Responsibilities Design and develop low-latency backend services using C#/.NET Build and maintain exchange gateways utilizing FIX, WebSocket, and REST protocols Develop systems for market data ingestion, order routing, execution, and risk management Contribute to the design of trading domain models including orders, fills, positions, risk, and P&L Work with Kafka, Redis, and PostgreSQL to build resilient, high-throughput systems Create tooling and automation solutions using Python Ensure services are observable, reliable, and production-ready Participate in code reviews, testing, and architectural discussions Collaborate closely with trading, infrastructure, and product stakeholders Requirements 7+ years of backend software engineering experience Strong commercial experience developing applications in C#/.NET Solid Python skills for automation, tooling, and integrations Experience building distributed, event-driven, or streaming systems Hands-on experience with Kafka (or similar messaging technologies), Redis, and relational databases Strong understanding of concurrent programming and high-performance system design Experience working with FIX, WebSocket, and REST-based integrations Ability to thrive in a fast-moving startup environment with a high level of ownership Passion for leveraging AI tools to improve productivity and engineering workflows Desired Background The ideal candidate will bring experience or strong personal interest in one or more of the following: Sports betting Trading platforms Prediction markets Financial markets or exchanges Market-making environments Risk and quantitative trading systems Candidates with relevant side projects, research, or personal trading-related interests are encouraged to apply. Nice to Have Experience supporting real-time UI requirements Exposure to market-making, quantitative research, or trading workflows Performance optimization, profiling, and GC tuning experience Experience working on latency-sensitive systems What's on Offer Fully remote working environment Opportunity to join an early-stage, well-funded venture Work alongside proven industry leaders and trading experts High degree of ownership and technical autonomy Challenging engineering problems within a rapidly growing market sector Competitive compensation package including equity potential