The Responsible Gaming Analyst is responsible for identifying and assessing customers who may be at risk of gambling-related harm, determining appropriate protections and monitoring outcomes. The role reviews behavioural, transactional and customer interaction data, applies risk-based decisions and coordinates required actions with Customer Support or other authorised customer-facing teams.   This role will support the establishment of effective Responsible Gaming processes, consistent interventions and a sustainable approach to customer protection. This is a hands-on operational role requiring sound judgement, attention to detail and the ability to make timely, evidence-based customer protection decisions.   Responsibilities: Identify and assess gambling risk. Determine and coordinate customer protections. Deliver effective and compliant responsible gaming operations. Support operational excellence and team capability.   Requirements: Proven experience in responsible gaming, customer risk, AML, graud or similar. Working knowledge of gambling harm indicators, customer vulnerability, affordability, self-exclusion and customer intervention principles. Ability to analyse interaction data and identify changes or patterns that may indicate increased risk. Ability to make customer protection decisions and document the rationale for those decisions.

The Customer Service Agent will be responsible for handling customer queries and support requests online, delivering a helpful, accurate, and compliant service experience across registration, KYC, deposits, withdrawals, gameplay, bonuses, complaints, and responsible gambling interactions.   This role is expected to work confidently across channels — including email and live chat. The role will work closely with the Customer Service Lead and, where relevant, CRM & Loyalty, Risk & Compliance, and Payments, to resolve customer queries efficiently while maintaining our client's service standards.   Responsibilities: Respond to customer queries across channels — including email and live chat — accurately, professionally, and within agreed service level targets Resolve queries across registration, KYC, deposits, withdrawals, gameplay, bonuses, and general account support Escalate complaints, responsible gambling concerns, and higher-risk cases to the appropriate team promptly and correctly Apply responsible gambling, AML, and data privacy protocols correctly in every customer interaction   Requirements: Experience in a customer service or customer support role, ideally within iGaming, digital entertainment, fintech, or another regulated digital business Strong written and verbal communication skills, with the ability to work confidently across multiple channels including email and live chat Understanding of, or willingness to be trained on, responsible gambling, KYC/AML, and complaints handling requirements

Location: Milton Keynes, England Model: Hybrid - 2 days remote FTC: 12-month   We're looking for a Data Engineer to join our client's team and play a key role in shaping how data is collected, managed, and leveraged across the business. In this position, you'll work closely with business and technical stakeholders to build reliable data solutions, improve reporting capabilities, and deliver meaningful insights that support strategic decision-making. You'll help ensure data is accessible, accurate, and actionable, while contributing to the ongoing evolution of our analytics function.   Key responsibilities include: Designing, maintaining, and optimizing data pipelines, integrations, and data storage solutions Collaborating with development and business teams to ensure data is available, reliable, and fit for purpose Building and enhancing reporting frameworks, dashboards, and analytics processes to support operational and executive teams Identifying trends, opportunities, and business drivers through advanced data analysis Supporting the development of predictive models, customer segmentation initiatives, and other data-driven projects Promoting data literacy across the organization by translating complex findings into clear, actionable insights Mentoring analysts and contributing to the growth and maturity of the analytics function   What we're looking for: Strong experience with MSSQL, Power BI, DAX, Google Analytics, APIs, and ETL/ELT processes Experience working with data integration and automated data acquisition tools Previous experience leading or mentoring analytics or data teams Strong stakeholder management and communication skills.