Working Student – Fraud Analyst (m/f/d)

ABOUT US Unzer is a leading European fintech company with a mission to simplify international payments for e-commerce and retail businesses. Our brand was formed from 13 companies that now contribute to building a unique product covering the entire payment flow. At Unzer, we are driven by the belief that customers should enjoy a seamless shopping experience, no matter where they choose to shop. We are a team of over 750 experts from 70 different nationalities, dedicated to creating a state-of-the-art unified commerce platform. Our goal is to enable businesses to delight their customers with a seamless payment experience. Whether you're a tech enthusiast, payment expert, or a dedicated support professional, we are looking for individuals who are passionate about making a difference. Our offices: We are based across Austria, Denmark, Germany and Luxembourg with a HQ in Berlin. ABOUT THE TEAM Join our team dedicated to proactively detecting and preventing fraud. We strive for excellence through daily transaction monitoring, promptly reporting suspicious activities to merchants, implementing effective counteractions based on fraud patterns, and continuously refining our processes. By ensuring the safety and integrity of our business, we maintain high-performance standards across all channels and merchant segments. What your work will look like: • Daily monitoring of transactions, report fraud suspicious to merchants, follow-up of Fraud suspicion cases, counteractions based on fraud patterns (e.g.: creation of rules based on specific patterns seen). • Update of rules based on fraud patterns - TM rule engine and internal risk engine. • Monitoring the number of transactions successfully stopped because of Stop Fraud process vs. False positives. • Monitoring numbers linked to the performance of the overall business - per merchant, channel, etc. • Constant development and improvement of reports to keep track of numbers and potential gaps. • Process confidential correspondence like letters from lawyers, customers, letters of insolvency and police inquiries. What you need to be successful in this role: • You are currently pursuing a Bachelor’s or Master’s degree in a quantitative field, such as Data Science, Statistics, Mathematics, Economics, Computer Science or a related discipline. • You enjoy working with data and have strong analytical and problem-solving skills. • You have a keen eye for detail, a proactive attitude and a willingness to learn. • Initial experience or a strong interest in fraud prevention, risk management or data analytics is an advantage. • Familiarity with SQL or another data-related language is a plus. • Experience with Tableau or other data-visualisation tools is beneficial. • You bring a hands-on mindset and are motivated to contribute ideas and challenge existing approaches. • You enjoy collaborating with others and can adapt to a changing environment. • You are fluent in written and spoken English; German is a plus. What’s next? • Does it sound exciting? - Apply with your CV in English. Please don’t shy away if you don’t meet all the requirements! We’re looking forward to meeting you. • We will get back to you within 14 days of receiving your application. • The interview process includes a 30-minute introductory call with a Talent Acquisition Partner, followed by an interview of up to 45 minutes with your potential manager and a 60–90-minute conversation with the team. Please note that the process may vary slightly depending on the team’s availability. What’s in there for you: 🕟 Flexible working hours – you get to choose the schedule that works best for you! 🎉 Enjoy some fun moments with your coworkers – we throw a company party once a year and host several team events! The minimum gross salary for this position is €1,300 per month on a part-time basis (20 hours/week). However, there is a willingness to offer a higher salary depending on experience and qualifications. *Unzer is an equal employment opportunities workplace, and we commit to hiring regardless of race, sex, gender identification, sexual orientation, national origin, native language, religion, age, disability, marital status, citizenship, genetic information, pregnancy, or any other characteristic protected by law. Please refrain from including your picture and age with the application. #LI-HYBRID