Fraud Prevention Analyst (M/F/D)

Payback; München; Vor Ort; EUR 55.000 - 75.000; Vollzeit

Benefits dieser Stelle

30 days vacation plus additional purchase options

Free healthy meals

In-house gym

JobRad bike leasing

Flexibility for hybrid work

Zusammenfassung

PAYBACK GmbH in Munich is hiring a Fraud Prevention Analyst to identify suspicious activities and assess risks in a data-driven environment. The role involves analyzing patterns, documenting findings, and contributing to the development of risk detection systems.

The ideal candidate will have relevant experience, analytical skills, and a passion for preventing fraud. The position offers flexibility with a hybrid working policy and many employee benefits including health support and professional development opportunities.

Qualifikationen

• Relevant experience in fraud prevention, AML, or risk compliance.
• Proficient in analyzing large data volumes and reporting.
• Basic understanding of IT security and data protection.

Aufgaben

• Analyze suspicious activity and identify risks based on data.
• Document findings and create actionable recommendations.
• Collaborate with internal teams to improve fraud prevention.

Kenntnisse

Analytical thinking

Attention to detail

Data analysis

Communication skills

Tools

Analytical tools

Monitoring systems

Jobbeschreibung

## Fraud Prevention Analyst (m/f/d)### General informationJob TitleFraud Prevention Analyst (m/f/d)Ref #1078LocationMunichCompanyPAYBACK GmbHJob AreaInformation TechnologyJob TypeProfessional### Description & Requirements**Team language:** German & English**Contract type:** Permanent, full-time (40h/week), Start as soon as possible **What this role is about**In this role, you will identify suspicious activity, investigate cases in a structured manner, and assess risks transparently. You will work in a data-driven environment, identifying patterns and correctly classifying irregularities to derive well-founded recommendations for specific actions. As part of a cross-functional team (crew), you will work closely with the operational side of the business and at the interface between analysis, technology and business. Your focus will be on in-depth analysis, handling and further development of specific fraud prevention issues in day-to-day operations.**Your day-to-day responsibilities*** analysing suspicious activity in day-to-day operations, identifying patterns, and assessing potential risks based on data, signals, and context* examine structured and unstructured information, develop hypotheses, and draw robust conclusions from them* document your findings clearly and comprehensively, formulating concrete, actionable recommendations for the business* contribute technical requirements for monitoring, control, and risk detection systems, supporting their ongoing development* dentify opportunities for improvement in existing monitoring and prevention processes, supporting their operational implementation* work closely with internal stakeholders from Security, Compliance, Data, and Operations* help your team better understand fraud risks, raising awareness of prevention through dialogue, guidelines, and training* assess the effectiveness of measures against defined criteria, helping to further develop them based on data**This role is a great fit for you if you...*** get to the heart of complex issues, have a keen eye for patterns and anomalies, and understand interrelationships* enjoy analysing root causes and scrutinising details, and you do not settle for superficial answers* work analytically, making decisions based on data, facts, and clear contextual analysis* take a structured approach, formulating and validating meaningful hypotheses even when the data is unclear* communicate confidently with various stakeholders, particularly operational teams and related departments**What you should bring from a professional perspective*** relevant professional experience in an analytical or operational fraud/risk environment, ideally in roles such as fraud prevention, AML, risk, compliance, trust & safety* experience in analysing large volumes of data, and in working with reports, dashboards or analytical tools in an operational context* good basic technical understanding of data, systems and digital processes. Knowledge of IT security would be an advantage* knowledge of relevant regulatory frameworks such as AML, KYC and data protection, or comparable standards, would be an advantage* experience with modern analysis or monitoring tools would be an advantage, as would initial exposure to AI-supported applications or rule-based detection approaches**Conditions & benefits*** **Flexibility:** 30 days of vacation plus the option to purchase additional vacation days, hybrid working policy (2 days home office/week) and the possibility of taking a sabbatical* **Food & drinks:** Mostly free, healthy, and varied meals, fresh fruit and popcorn every day, plus coffee and tea included* **Health & fitness:** Free use of our in-house gym, health weeks, massages, and physiotherapy treatments on site* **Culture:** Team events, Social Days, an open “come as you are” culture, dogs are welcome,strong engagement in female leadership* **Development:** Individual training and development opportunities within the team and across the organization* **Mobility:** Coverage of the Deutschlandticket, central location with a subway station right outside the door, and JobRad bike leasing**Why PAYBACK?**PAYBACK is Germany’s leading loyalty program and one of the largest data-driven marketing platforms worldwide. Our solutions reach millions of people every day.With more than 1,000 employees at our Munich location, we develop all technical solutions in-house and combine data, technology, and marketing to create measurable value. You can look forward to interdisciplinary teams, real opportunities to shape the future, and an open, innovation-driven culture.**The PAYBACK GROUP values diversity – come as you are.**