Fraud Data Analyst

EBA CLEARING; Frankfurt; Hybrid; EUR 85.000 - 120.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Benefits package with sports/culture,

Professional development budgets

Flexible work from home option

Well-being and social initiatives

Zusammenfassung

EBA CLEARING in Frankfurt (or Brussels) is seeking a data specialist for FPAD fraud detection, focusing on data analysis, model development and user-focused explanations. You will work with a multinational team on advanced fraud models and insights.

Join a regulated payments environment with opportunities for growth, collaboration across Europe and a flexible work setup including home-based options.

Qualifikationen

• University degree in computer science, mathematics or a related field.
• At least three years of experience working in a quantitative role, in a fraud or risk environment at a bank or payment service provider.
• Good knowledge of data science and data engineering, preferably with python.
• Experience to optimise models on response time.
• Working in a highly regulated environment.
• Domain knowledge in payment data.
• Full proficiency in English, any additional European languages would be an asset.

Aufgaben

• monitoring model and data quality in production
• finding new emerging fraud characteristics by exploring the vast transaction data underlying our FPAD solution
• building new features that help detect fraudulent transactions
• developing state-of-the-art AI models against billions of historical transaction
• creating documentation and charts to explain your work to our users
• sharing insights with experts from financial institutions across Europe
• staying up to date with latest trends in fraud detection and drive the development of our solution

Kenntnisse

Intercultural communication

Customer-first attitude

Analytical thinking

Anticipate problems

Attention to detail

Autonomous working

Ausbildung

University degree in computer science or mathematics

Tools

Python

Jobbeschreibung

EBA CLEARING is a provider of pan-European payment infrastructure solutions. Founded in 1998, the Company is owned by 48 of the major banks operating in Europe and based on a country-neutral governance model. The payment systems of EBA CLEARING are pan-European by design and desire: they are developed in close co-operation with the Company’s multinational user community and best-of-breed technology partners.

Join our team of smart and curious people from all over the world as we help shape the future of pan-European payments.

This position can be located in Brussels or Frankfurt.

The position

The FPAD Competence Centre (FCC) is responsible for the development and maintenance of fraud detection models for EBA CLEARING FPAD functionality. This requires data analysis and modelling as well as a good understanding of fraud developments and the needs of our users, supporting them in understanding FPAD functioning and results and help investigate specific cases.

As a member of the FCC team your responsibilities will include:

• monitoring model and data quality in production
• finding new emerging fraud characteristics by exploring the vast transaction data underlying our FPAD solution
• building new features that help detect fraudulent transactions
• developing state-of-the-art AI models against billions of historical transaction
• creating documentation and charts to explain your work to our users
• sharing insights with experts from financial institutions across Europe
• staying up to date with latest trends in fraud detection and drive the development of our solution

The profile

The basics:

• University degree in computer science, mathematics or a related field
• At least three years of experience working in a quantitative role, in a fraud or risk environment at a bank or payment service provider
• Good knowledge of data science and data engineering, preferably with python
• Especially experience with
• Experience to optimise models on response time
• Working in a highly regulated environment
• Domain knowledge in payment data
• Full proficiency in English, any additional European languages would be an asset

Required skills:

• Intercultural communication
• Customer-first attitude in everyday responsibilities
• Analytical thinking and efficient problem-solving
• Ability to anticipate problems, needs and changes and evaluate operational risks
• Attention to detail while managing multiple tasks simultaneously
• Ability to work autonomously in a fast-paced environment

What we offer

At EBA CLEARING, we develop ideas together within and across teams and with our stakeholders, and we are ready to adapt whenever needed. The projects waiting for you will give you the opportunity to learn, excel and grow. Our people are our most valuable asset, and we want to contribute to the well-being of our staff at work and beyond with:

• a competitive salary package
• attractive benefits package including a sports and cultural activities budget and meal tickets
• professional development opportunities including training budgets and inner-company mobility
• a flexible work environment including the option to work from home
• happy work place initiatives including well-being workshops, social events, green initiatives, onboarding support and more

EBA CLEARING is committed to equal opportunity, diversity and inclusion, as we are convinced that our individual experiences and overall diversity are our key strength. All our recruitment decisions are based solely on the individual’s qualifications, skills and experience along with the job requirements. EBA CLEARING ensures compliance with the principle of non-discrimination towards any person in the context of a recruitment procedure, access to an internship or an in-company training period in the different countries in which it recruits.

If you have any question regarding the interview process, please let our Talent Acquisition Specialist know.

We value authenticity in our recruitment process and are interested in getting to know you, your experience, your perspective and your voice. While AI tools can support preparation, we expect applications and interactions to reflect your own work and thinking.