(Senior) Data Analyst - Risk & Compliance

<p>At <strong>SumUp</strong>, small business owners are at the heart of everything we do. That’s why we create powerful, easy-to-use financial solutions to help them run their businesses.</p> <p>In the Risk &amp; Compliance tribe we ensure SumUp remains compliant with legal and regulatory requirements in all locations where we have a banking licence. Our tribe plays a crucial role in ensuring SumUp maintains a high level of integrity and compliance with applicable laws and regulations, while also protecting the company and its customers from risk and fraud.</p> <p>You would collaborate with two cross-functional squads:</p> <p>The Merchant Protect squad focuses on managing fraud risk and AML activities throughout entire merchant lifecycle, having a strong focus on onboarding (before transactions: anomaly detection, login and registration data, risk scoring), as well as also managing fraud and AML risk based on merchant behaviour through the whole lifecycle.</p> <p>The Operational Efficiency squad’s mission is to improve operational efficiency by automating manual processes in Risk &amp; Fraud and AML Operations. It achieves that by building back-office applications and services powered by generative AI, as well and providing datasets necessary for effective operations.</p> <p>Join our team as a <strong>(Senior) Data Analyst </strong>and contribute informing our risk and compliance operations teams with the needed tools and processes to mitigate fraud and ensure compliance in a highly regulated environment, you'll not only apply your expertise to the challenges of a complex and evolving domain but also actively contribute to the broader data analytics team.</p> <p> </p> <p><strong>What you’ll do</strong></p> <ul> <li>Working in two cross functional teams and creating visibility of their impact </li> <li>Ensuring the relevance and correctness of KPI definitions, as well as their underlying datasets and dashboards</li> <li>Building, maintaining and delivering high quality, timely data marts based on a wide spectrum of data sources from within SumUp that allow the squads to measure the impact of their solutions</li> <li>Analysing data sets to spot trends and patterns that can be translated into actionable insights and conduct ad hoc analyses to address pressing questions around both the merchant lifecycle as well as internal AML &amp; fraud operations</li> <li>Working with other engineering teams to accurate and up to date data products that can drive the decision-making process</li> <li>Proactively analysing patterns in the data that create opportunities for further product improvements for both squads</li> <li>Collaborate with product and engineering management to define clear team KPIs and data models to ensure data driven workflow and prioritisation in the team</li> </ul> <p><br/><br/></p> <p><strong>You’ll be great for this role if you</strong></p> <ul> <li>Have progressive experience as a Data Analyst, highly preferable within a financial domain</li> <li>Experience in data warehouse principles (ideally Snowflake), architectures, and data transformation technologies such as dbt</li> <li>Writing, optimising, and validating SQL queries is part of your day-to-day</li> <li>Have a habit to question the data as well as the drive to really understand what the data represents</li> <li>Have experience in using Python to run, adapt and extend existing data collection and visualisation code</li> <li>Understanding version control concepts and Git operations</li> <li>Ability to digest information, and data and deliver recommendations</li> <li>Ability to derive conclusions with analytical evidence using descriptive statistics, basic inferential statistics, and data visualisations - ideally with Tableau</li> <li>Proven track record of stakeholder management skills, ability to challenge, refine and prioritise competing stakeholder requests</li> <li>Having a foundational understanding of basic software development concepts will support you in your collaboration and understanding of the Engineering and Product team’s needs</li> </ul> <p> </p> <p><strong>Nice to have</strong></p> <ul> <li>Payments fraud or financial compliance domain expertise</li> <li>Advanced experience in programming languages like Python for data analysis and manipulation </li> <li>Familiarity with libraries such as Pandas, NumPy, and Scikit-Learn is a plus</li> <li>Defining and running A/B tests and knowing when results are statistically significant</li> <li>Previous exposure to dynamics of startups or scale-up organisations</li> <li>Proven track record of leading large and complex projects, demonstrating adaptability and concise communication skills</li> </ul> <p><strong>Additional Information</strong></p> <p>Start date: as soon as possible</p> <p>Permanent contract: full-time or near-full-time (30-40h)</p> <p>Location: On-site role in Berlin (office first set up)</p> <p><strong>Interview Process Overview</strong></p> <ul> <li>Recruiter Interview - 45 m