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Job Title: Head of Risk Department: Legal & Compliance Location: Remote, Europe Our client is a fast-growing online gaming and betting platform. Their platform is operating at significant global scale and their product is known for its high-volume activity, fast iteration cycles, and a passionate user community. The environment is dynamic, data-driven, and built for people who thrive in speed, autonomy, and technical challenge. While the company moves quickly and embraces unconventional thinking, the mission is clear: deliver a fair, engaging, and secure experience for players worldwide. Role Summary The Head of Risk is responsible for building, leading, and owning the company’s entire risk function from the ground up. This is a forensic, investigative, and highly analytical role focused on identifying fraud, financial manipulation, player abuse, payment risks, game manipulation, account-level threats, and systemic vulnerabilities across the platform. You will serve as the company’s subject-matter expert on fraud, AML-adjacent risks, payments exposure, and operational vulnerabilities, developing processes that protect the business without slowing down product velocity. This role requires someone who has worked in fast-moving, high-volume, high-risk environments, ideally gambling, fintech, crypto, or security. You will be expected to audit every procedure, tear down assumptions, redesign risk workflows, and build a modern risk team capable of protecting the company at scale. This role is both strategic and hands-on. Expect to analyse raw data, dig through logs, interrogate suspicious patterns, and implement frameworks that prevent millions in losses. Key Responsibilities Build the company's risk function from scratch, including processes, frameworks, tools, and operational workflows. Conduct deep forensic investigations into suspicious behaviour, fraud patterns, abuse vectors, chargeback risks, and platform vulnerabilities. Review all existing product flows and internal procedures, identifying weak points and designing new risk-mitigation systems. Monitor payments, deposits, withdrawals, transaction anomalies, and financial exposure across all channels. Partner closely with product, engineering, finance, compliance, and support to embed risk intelligence into the business. Analyse high-volumes of behavioural, transactional, and game-level data to detect anomalies and potential fraud rings. Implement risk-scoring systems, detection logic, automated rules, and alerting mechanisms. Oversee responsible gambling, KYC/KYB signals, and account integrity processes. Lead incident response for major fraud or risk-related events. Develop policies around player sanctions, account closures, limits, and escalations. Manage relationships with payment providers, fraud vendors, anti-bot systems, and external partners. Build and mentor a team of analysts, investigators, and fraud specialists as the department grows. Provide executive-level reporting on risk exposure, emerging patterns, and recommendations. Ensure all risk operations align with regulatory requirements and fair-play standards. Core Competencies: Exceptional analytical and investigative mindset. Strong decision-making under pressure and uncertainty. High integrity, confidentiality, and ethical judgment. Ability to work autonomously in a fast-paced, unstructured environment. Clear communication skills with technical and non-technical stakeholders. Strong pattern recognition and anomaly-detection intuition. Ability to build operational frameworks quickly and iteratively.. Technical Skills: Expertise in fraud analytics, forensic investigation, and risk frameworks. Advanced proficiency with SQL, dashboards, data-analysis tools. Knowledge of payments systems, chargebacks, and AML-adjacent workflows. Understanding of gambling risk vectors: bonus abuse, multi-accounting, bots, exploits, RTP manipulation, etc. Experience with fraud detection vendors, risk engines, or custom scoring systems. Ability to interpret raw logs, game data, and transactional metadata. Qualifications & Experience 5–10+ years of experience in fraud, forensic investigation, risk management, or security. Experience in online gambling, crypto, fintech, or high-risk transaction environments strongly preferred. Proven ability to uncover complex fraud patterns and mitigate systemic risks. Track record of building or scaling a risk function is a major advantage. Previous oversight of high-volume payment and withdrawal risk. Experience collaborating cross-functionally with product and engineering. Strong understanding of regulatory risk, responsible gambling, and compliance signals (even if not a compliance officer). If you feel you have the required skills and experience for this role and have a strong appetite for risk and all things iGaming and crypto then please apply today!

My client are seeking a commercially minded, data-driven CRM Cross-Sell Specialist to join the team. This role focuses on converting sports betting and prediction players into highly engaged casino users through personalised journeys, smart segmentation, and behavioural insights. If you excel at turning data into strategy, know how to motivate players with the right bonuses at the right time, and understand what makes US players tick, this opportunity is for you. Responsibilities: Own the full cross-sell strategy from Betting/Prediction to Casino Build structured journeys, incentives, and messaging tailored to US player psychology Develop automated flows that introduce and convert users into casino sessions Create a quarterly cross-sell roadmap across major launches (UK, Prediction, Crypto) Work with BI to identify high-potential cross-sell cohorts based on predictive behaviours Design bonus-driven cross-sell incentives (missions, rakeback, jackpots, bundles ???????Collaborate with Product, Creative, VIP, and Compliance teams for seamless execution Requirements: 2–4+ years in CRM, lifecycle marketing, retention, or growth, ideally in multi-product environments Proven experience designing bonus strategies and managing promotional incentives Deep understanding of player psychology, with strong insight into US player behaviour Highly analytical: confident with BI dashboards, segmentation, experimentation, and A/B testing Hands-on experience with CRM platforms, bonus engines, and automation tools Ability to turn behavioural data into clear strategies and measurable uplift

My client is a leading provider of AI-powered customer service tools, specializing in sports betting & gaming sector. They partner with global operators to deliver intelligent, automated support that enhances player experience and operational efficiency. They are now expanding the U.S. engineering capability to support client integrations and AI performance excellence across the region. Why Join? · Be part of the team shaping the future of AI-driven customer service in gaming and sports · Work directly with world-class engineers, data scientists, and product leaders · Blend hands-on technical work with strategic product impact · Competitive salary, performance incentives, and potential equity participation · Fully remote work options available within the U.S. The Role: This role is primarily a full-stack developer position, with a strong focus on AI evaluation and client integration. You’ll work closely with Product, Engineering, and Client Solutions teams to: · Deploy and integrate the AI platform into client stacks · Build, test, and monitor custom connectors, APIs, and data flows · Design and automate evaluation systems to measure and improve AI response quality · Contribute directly to the continuous improvement of the AI and platform architecture This role is ideal for a technically versatile engineer who enjoys working across code, data, and AI quality systems and who thrives in a fast-moving, high-impact environment. Key Responsibilities: Client Integration & Engineering · Prompt engineering (design and implement client specific prompts) · Model selection (evaluation and selection of LLM configurations for client specific context) · Build and maintain integrations between the AI platform and client systems (PAMs, CRMs, ticketing, chat, data APIs, etc.) · Support deployment, configuration, and validation of new AI environments for enterprise customers · Develop and maintain reusable SDKs, API wrappers, and automation scripts to streamline onboarding · Troubleshoot and resolve technical issues in collaboration with the Product and Solutions teams AI Evaluation & Quality · Design and run automated and manual evaluation tests for AI responses (accuracy, tone, latency, compliance) · Build dashboards and tools to monitor AI quality and performance across client deployments · Partner with the Senior Product Manager to translate evaluation findings into roadmap improvements · Collaborate with the AI engineering team to test new model versions and fine-tuning experiments · Document findings and maintain clear visibility of performance metrics for internal and client stakeholders About You: My client are seeking a full-stack engineer who can work comfortably at the intersection of software engineering, applied AI, and client delivery. Requirements: · 4+ years’ experience in full-stack engineering or ML · Strong proficiency in Node.js with Ruby on rails experience a major plus · Understanding of APIs, data pipelines, and system integrations · Familiarity with LLMs or conversational AI platforms (OpenAI, Anthropic, etc.) · Experience with evaluation frameworks (precision/recall, prompt-based testing, or human-in-the-loop QA) · Strong analytical and troubleshooting skills; ability to debug across systems · Excellent communication skills and comfort working across distributed global teams Bonus / Nice-to-Have: · Experience with gaming, sports betting, or high-volume transactional systems · Exposure to observability tools (e.g., Datadog, Grafana) or experiment tracking frameworks · Interest in applied AI safety, ethics, and model performance evaluation