Remote Jobs.

Main Responsibilities:   Take ownership of the company’s SQL Server data infrastructure, including development and maintenance of ETL pipelines. Ensure seamless integration with key third-party platforms. Drive a major affiliate network consolidation initiative, ensuring accurate data migration and clean attribution of revenue across channels. Develop and maintain a suite of Power BI dashboards for daily, weekly, and monthly reporting across various departments. Lead affiliate network consolidation, ensuring data consistency and revenue reconciliation. Support cross-team analytics needs with clear, accurate reporting. Explore AI/ML opportunities to drive predictive and automated solutions.   Desired experience: iGaming experience. 5+ years of experience in data engineering, BI, or analytics. SQL Server, Python-based ETLs, and building dashboards in Power BI. Proven ability to work independently, manage projects, and act as the link between business teams and technical teams. A proactive mindset geared toward innovation, scalability, and data-driven strategy.

My client is seeking an exceptional Senior Sportsbook Data Science Engineer to lead advanced modeling initiatives that power user profiling, risk control, and personalized gaming experiences across their rapidly expanding Sportsbook and iGaming ecosystem. This position is a senior, high-impact role offering full ownership of model strategy, hands-on development, and leadership of data science best practices. You will build and deploy machine learning models that directly influence product innovation, risk management, and operational effectiveness. Key Responsibilities Modeling Leadership & Roadmap Ownership Own the end-to-end modeling roadmap for Sportsbook and iGaming user profiling, ensuring full alignment with business priorities, compliance needs, and risk strategy. Architect scalable ML pipelines for feature engineering, model training, deployment, and monitoring in production environments. Develop robust user segmentation and classification frameworks based on behavioral, transactional, and betting activity signals. Translate model insights into actionable strategy recommendations for cross-functional teams including Product, Risk, Marketing, and Operations. Mentor and support junior data scientists/ML engineers, driving excellence in experimentation, deployment processes, and model governance. 1. User Risk Control & CCF Modeling Build predictive models for user risk control coefficients (CCF) using behavioral, financial, and wagering-related data features. Automate the assignment of CCF risk tiers and design differentiated risk-control strategies per user segment. Continuously track model performance, detect drift, and optimize outcomes to support safer gaming, regulatory compliance, and risk-aware decision making. 2. Betting & Gaming Behavior Prediction / Personalization Develop predictive models for user behavior, including betting propensity, churn risk, gameplay depth, and long-term value forecasting. Build recommendation systems to personalize game/bet suggestions, promotions, and product experiences across Sportsbook and iGaming channels. Optimize personalization frameworks to drive engagement, retention, and user lifetime value. Qualifications 5+ years of hands-on machine learning/modeling experience in the Sportsbook or iGaming industry, with a proven track record of delivering production ML solutions. Bachelor’s degree or above in Computer Science, Mathematics, Statistics, or a related quantitative field. Expert proficiency in Python and SQL, including data wrangling, feature engineering, model building, and evaluation. Deep knowledge of ML methods for classification, scoring, segmentation, recommendations, and behavior prediction. Demonstrated experience deploying models into production, with strong understanding of monitoring, drift detection, and feedback loops. Excellent communication skills with the ability to convey complex modeling results to non-technical stakeholders.

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!