pulliThe 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 /liliOur work bridges business, compliance, and technology—analyzing data, processes, and transactions to identify potential threats while also enabling smooth and secure customer experiences /liliWe 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 /liliAs the Senior Data Analyst - Fraud Strategy Operations, you will be the driving force behind our fraud defense system. We are looking for a proven analytical mind from the financial services sector who can challenge our current thinking, build predictive fraud models, redesign existing fraud models, framework and processes /liliUsing SQL, Python/R Ecosystems, Feature Engineering, you will dissect fraud trends, build predictive models from scratch, and implement sharp, real-time rules to prevent and detect fraud across our payment rails /liliThis role reports to the Head of Risk and Fraud Operations and requires a highly capable and entrepreneurial individual who can balance deep technical hands-on execution with high-level strategy /liliUncover 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 /liliDeploy Fraud Rules: Design, test, and implement robust fraud prevention rules that successfully catch bad actors while maintaining a seamless experience for real customers /liliDrive Strategy: Elevate Raisin US’s capabilities by introducing industry best practices, new methodologies, and innovative fraud prevention strategies that we aren’t using today /liliKPIs Dashboards: Build out data-driven dashboards to track fraud metrics, losses, and mitigation performance, presenting actionable findings directly to leadership /liliBuild 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) /liliFeature Engineering: Develop model features based on identity, device, behavioral, and transactional data /liliCross-Functional Delivery: Partner closely with Product and Engineering to integrate these models into our real-time production pipelines /liliRisk Profiling:



Partner with the Compliance team to enhance customer risk profiling, transaction monitoring, and KYC/AML workflows /liliDesign low-friction, custom risk rules for identity verification, account takeover protection, and transaction monitoring /liliContinuous Back-Testing: Routinely stress-test current rules against changing regulatory standards and evolving financial crime tactics /li /ulh3Benefits /h3ulliVisa Relocation Support /lili1,700 EUR Training Budget /liliFree Choice of Hardware /liliBeginner German Classes /liliFood Drinks /liliFlexible working hours, home office and 28 vacation days /liliCompany Pension Scheme /liliTeam Events /liliSubsidised Urban Sports Club Membership- Financial Services Background: 8+ years of experience in fraud risk management, analytics, or financial crime specifically within fintech, retail banking, or digital payments /liliMaster of Analytics: Exceptional analytical capabilities are your biggest asset. You love diving into raw data to solve complex puzzles /liliRule Model Builder: Proven track record of designing custom fraud rules and deploying machine learning or statistical models in a live environment /liliTechnical Stack: Highly proficient in SQL and Python for data manipulation, analytics, and building predictive models. Experience building out fraud dashboards is a must /liliPayment 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 /li /ul /p #J-18808-Ljbffr

📌 Senior Data Analyst (Fraud Strategy & Operations) (Madrid)
🏢 Socket.dev
📍 Madrid