Tech.

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 aligned with the US sporting calendar. It is not a traditional 9-to-5 role, and regular evening and 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 hours, including evenings and 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.  

I am looking for a motivated Quality Manager to join my client's team at their Parma office. The successful candidate will contribute to the continuous development of our management system, ensuring compliance with international standards and promoting a culture of continuous improvement. Requirements Qualifications University degree and a minimum of 3 years of experience in a similar role. Excellent command of English (C1 level). Strong organisational skills and excellent attention to detail. Certification in quality auditing or a related field is considered a plus. Proven ability to work collaboratively with internal teams and external stakeholders. Responsibilities Maintain and develop, including the modification or extension of, the ISO/IEC 17020, ISO/IEC 17025, ISO/IEC 17065, and ISO/IEC 17021-1 standards within the CAB management system, as well as related accreditation activities. Coordinate and oversee the company’s entire management system, ensuring that all procedures comply with the applicable standards. Coordinate internal and external audit activities and manage relationships with accreditation bodies, consultants, and contracted auditors. Manage non-conformities and implement appropriate corrective actions.

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