Fraud Operations Analyst (w/m/d) (Fixed-Term Maternity Cover)

Billie; Berlin; Hybrid; EUR 50.000 - 70.000; Vollzeit

Zusammenfassung

A leading fintech company in Berlin is seeking a Fraud Operations Analyst. This role involves detecting and investigating fraudulent transactions using advanced analytics, collaborating with teams to enhance fraud detection systems, and supporting stakeholders with suspicious transaction requests. Ideal candidates have 1-3 years of experience in fraud prevention, excellent communication skills, and familiarity with SQL and data visualization tools. Join a dynamic team dedicated to innovative risk mitigation strategies.

Leistungen

Flexible work hours

Hybrid working model

30 days vacation

Virtual Shares Incentive Program

Development budget

Free German classes

Discounted public transport

Company events

Qualifikationen

• 1-3 years of proven experience in fraud prevention or risk analytics.
• Excellent communication skills to simplify complex topics.
• Working experience with SQL and analytics tools.

Aufgaben

• Identify emerging fraud trends and driving risk mitigation strategies.
• Collaborate to enhance fraud detection systems.
• Support in manual transaction screening.

Kenntnisse

Fraud prevention

SQL

Data visualization tools

Communication skills

Analytical mindset

Tools

Tableau

Power BI

Looker

Jobbeschreibung

We are Billie, the leading provider of Buy Now, Pay Later (BNPL) payment methods for businesses, offering B2B companies innovative digital payment services and modern checkout solutions. We are to create a new standard for business payments and have made it our mission to simplify the purchasing experience for all businesses making it a tool for growth. Our solutions are based on proprietary, machine-learning-supported risk models, fully digitized processes and a highly scalable tech platform. This makes us a deep-tech company building financial products, not the other way around. We love building simple and elegant solutions and we strive for automation and scalability.

Note: This is a 1-year limited contract (maternity cover)!

About the role:

As a Fraud Operations Analyst, you will be part of the bigger decision science team, and will be contributing to one of our core decision areas, responsible for fraud mitigation, which has a direct impact on our business at Billie. In this role, you will support the fraud operations function to detect and investigate suspicious transactions. This includes reactive measures when needed, but more importantly, proactive, scalable and impactful analytical solutions to support in loss prevention before it happens.

To be successful in this role, you should have a solid understanding of the nature of fraud detection and an analytical toolset to match. You will work closely with other fraud operations analysts, but also to the adjacent decision science team, responsible for Billie’s AI-powered fraud detection tools. This impactful role will be at the intersection of business impact, stakeholder management and analytics.

Responsibilities:

• Utilize advanced analytics and data-driven insights to identify emerging fraud trends, patterns, and vulnerabilities, driving proactive risk mitigation strategies
• Collaborate with engineering and decision science teams to enhance fraud detection systems to automatically block fraudulent transactions and behaviors
• Support in manual transaction screening and labeling
• Support stakeholders across the business with requests relating to suspicious transactions
• Design and maintain dashboards to monitor and display the effectiveness of anti-fraud measures
• Conduct daily reviews of fraud cases to pinpoint vulnerabilities within the anti-fraud system
• Document existing fraud detection methodologies and metrics

Who we are looking for:

• You have 1-3 years of proven experience in fraud prevention/fraud operations, risk analytics, or risk management
• Excellent communication skills at all levels, from junior analysts to C-level; able to communicate complex topics in simple words
• Experience with translating analytical insights into data-driven business prioritization
• Working experience with SQL
• You are proficient in data visualization and analytics tools, like Tableau, Power BI, Looker
• You have strong business acumen coupled with a highly analytical mindset
• Experience working in a fast-paced and dynamic environment
• Strong sense of responsibility, self-starter, well organized, good planner, able to work independently and meet deadlines
• Excellent organization skills and ability to manage multiple responsibilities
• Previous e-commerce fraud prevention, investigation or banking fraud prevention experience is a plus

What we offer:

• Challenging and impactful work that drives personal and professional growth
• One of the best Virtual Shares Incentive Programs in the market, so that everyone at Billie is invested in our success
• Flexible work hours and trust in your ability to deliver, empowering you to take control of your work-life balance
• A hybrid working approach that allows you to work from home for up to 3 days per week
• Enjoy 30 days vacation per year, sabbatical opportunities, and extra child sickness leave for parents.
• Our “Catch a Ride with Billie” program that enables discounted access to Berlin Public Transport (BVG), Deutschland-Ticket, OR JobRad
• A yearly development budget to broaden your skill set and horizons
• Free German group classes
• An English-speaking, multicultural team with more than 40 nationalities
• Building meaningful connections with your colleagues through company and team events, interest groups, the Billie run club, game nights, and more, powered by our Formula Fun Team!

Billie is an equal opportunity employer and we do not discriminate on the basis of race, color, religion, sexual orientation, gender identity or expression, national origin, age, disability, or any other protected characteristic. We are committed to creating an inclusive environment where everyone feels they belong. All qualified applicants are welcome and we especially encourage you to apply, even if you don't check every box in the job description.

For information about data processing see our "Recruiting Privacy Policy and further information": https://www.billie.io/en/candidate-information