Tech.

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  

One of my client is looking for a strong Senior Full-Stack developer able to build real-time sports analytics and AI products for professional sports clubs and betting partners   Key Responsibilities Own features end-to-end (backend ? frontend ? deployment) Build real-time APIs and data pipelines with Python/FastAPI Develop live sports dashboards using Next.js/React Integrate AI/LLM workflows (LangGraph, OpenAI, Google APIs) Contribute to product and UX decisions, not just coding   Ideal Candidate 5+ years full-stack experience Strong in Python + React and TypeScript Comfortable with real-time systems/WebSockets Product-minded with good UI/UX instincts Autonomous and startup-friendly Genuine sports fan

Senior IT Operations Engineer About the Role We are looking for an experienced Senior IT Operations Engineer to join a fast-paced international technology company operating within a highly regulated financial services environment. This position is focused on endpoint management, identity and access administration, automation, and IT infrastructure operations across a distributed global team. The successful candidate will play a key role in improving operational efficiency, strengthening compliance processes, and implementing scalable IT solutions. This opportunity also offers a strong growth path into a future leadership position within the IT Operations function. Requirements 5+ years of experience in IT Operations, Endpoint Management, or Systems Administration Hands-on experience with enterprise device management platforms such as Kandji, Jamf, Microsoft Intune, or similar solutions Strong understanding of identity and access management tools including Okta, Google Workspace, Azure AD / Entra ID, and SSO technologies Experience working with SAML, SCIM provisioning, and user lifecycle management Scripting and automation skills using PowerShell, Bash, Python, or equivalent technologies Based in Limassol, Cyprus Comfortable leveraging AI-powered tools and automation technologies to improve productivity and operational workflows Responsibilities Manage the complete lifecycle of corporate devices across Windows and macOS environments, including onboarding, provisioning, compliance monitoring, and offboarding Configure and maintain MDM environments with a focus on automation, policy enforcement, and zero-touch deployment strategies Develop and optimise identity management workflows covering user provisioning, deprovisioning, authentication, and access control integrations Create automated IT processes using APIs, scripting languages, and third-party integrations Coordinate and deliver infrastructure-related initiatives such as office IT setup, network implementations, access systems, and cloud platform integrations Ensure systems and operational processes align with security and compliance requirements within a regulated environment What’s Offered Attractive compensation package based on skills and experience Private medical coverage from the first day of employment Ongoing learning and career development opportunities Modern office environment with complimentary snacks and beverages International and collaborative company culture Team events and social activities throughout the year Employee recognition initiatives and performance rewards