Senior Fraud Strategy & Analytics Leader

About Raisin Raisin is the world's leading platform for savings and investment products. Founded in 2012, the FinTech connects consumers with banks in the EU, the UK and the US. This gives consumers better interest rates and banks a diversified form of refinancing. Our vision is to offer savings and investments without barriers and thus open up the global 160 trillion euro market. Raisin currently employs more than 800 people from over 75 countries worldwide. Today, the platform holds over 80 billion euros in assets from more than one million investors which have accrued over 5 billion euros in returns. Team The Risk and Fraud Operations team plays a central role in safeguarding Raisin’s business by monitoring, assessing, and mitigating risks across all operational areas. We are responsible for managing fraud prevention, detection and mitigation, investigations and recoveries, monitoring for financial crime events (AML, KYC) and implementing effective risk controls to support the company’s growth. Our work bridges business, compliance, and technology—analyzing data, processes, and transactions to identify potential threats while also enabling smooth and secure customer experiences. We collaborate closely with cross‑functional teams (Product, Compliance, Customer Service, and Engineering) to design and execute risk and fraud management frameworks, enhance operational efficiency, and maintain a strong culture of accountability. Your Responsibilities Uncover Trends: Conduct complex data analysis using SQL, Python and Feature Engineering to proactively identify emerging fraud patterns and system vulnerabilities before they impact the platform. Deploy Fraud Rules: Design, test and implement robust fraud prevention rules that successfully catch bad actors while maintaining a seamless experience for real customers. Drive Strategy: Elevate Raisin US’s capabilities by introducing industry best practices, new methodologies, and innovative fraud prevention strategies that we aren't using today. KPIs & Dashboards: Build out data‑driven dashboards to track fraud metrics, losses and mitigation performance, presenting actionable findings directly to leadership. Build Predictive Models: Design, build and deploy machine learning and predictive models utilizing Python to detect anomalies across the entire customer journey (onboarding, funding and money movement). Feature Engineering: Develop model features based on identity, device, behavioral and transactional data. Cross‑Functional Delivery: Partner closely with Product and Engineering to integrate these models into our real‑time production pipelines. Risk Profiling: Partner with the Compliance team to enhance customer risk profiling, transaction monitoring and KYC/AML workflows. Design low‑friction, custom risk rules for identity verification, account takeover protection and transaction monitoring. Continuous Back‑Testing: Routinely stress‑test current rules against changing regulatory standards and evolving financial crime tactics. Your Profile Financial Services Background: 8+ years of experience in fraud risk management, analytics or financial crime specifically within fintech, retail banking or digital payments. Master of Analytics: Exceptional analytical capabilities are your biggest asset. You love diving into raw data to solve complex puzzles. Technical Stack: Highly proficient in SQL and Python for data manipulation, analytics and building predictive models. Experience building out fraud dashboards is a must. Payment System Domain Expertise: Deep understanding of deposits and ACH is required; direct experience with modern instant payment systems like RTP and FedNow is highly preferred. Rule & Model Builder: Proven track record of designing custom fraud rules and deploying machine learning or statistical models in a live environment. Benefits Flexible working hours and up to 28 days PTO accrued from your first month, plus 13 public holidays. Employee Development Budget of $2,200 and 4 full training days per year. Company 401k contribution of 5%. Healthcare coverage contribution, including medical, dental and vision. Commuter benefits and flexible working from home policy. Regular team events and yearly summer and winter party. Compensation Salary Range: $120,000 – $160,000 USD We value diversity and the unique experiences each individual brings. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply. We are an equal opportunity employer and are committed to creating an inclusive environment for everyone, regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability or gender identity. #J-18808-Ljbffr