Senior Analytical Consultant Finance & Payment (m/f/d)

Company Description

Experian is a global data and technology company that empowers people and businesses around the world. With our unique combination of data, analytics and software, we have established ourselves as one of the leading service providers for risk, fraud and identity management in the DACH region.

Experian gives individuals better access to financial services such as loans, insurance, mobile phone contracts and online shopping. We help companies of all sizes and industries make smarter decisions, lend more responsibly and protect themselves and their customers from identity fraud and crime.

We invest in our talented people and new, advanced technologies to harness the power of data and drive innovation. We employ 25,100 people in 32 countries and are a FTSE 100 company listed on the London Stock Exchange (EXPN). Our headquarters are in Dublin, Ireland.

Description

We are looking for a Senior Analytical Consultant (m/f/d) with experience in the financial services and payments industry to join our Customer Analytics team, which develops data-driven solutions for our clients.

This role is central to delivering impactful analytics, supporting pre-sales activities, and driving innovation in areas such as credit risk, fraud detection, and customer intelligence. The Senior Consultant combines technical expertise with strong business acumen to ensure our clients realize measurable value from Experian's local and regional data products and analytical services.

This position offers the flexibility to work in a hybrid model from our offices in Düsseldorf or Frankfurt.

Main Responsibilities

• Analyze large and diverse datasets to generate actionable insights that support business decisions in credit risk, fraud analytics, and customer behavior
• Design, develop, and implement advanced statistical models and machine learning solutions for complex client challenges
• Drive pre-sales activities by assessing client needs, developing tailored solution concepts, and supporting proof-of-concept projects
• Collaborate closely with cross-functional teams - including Sales, Product Development, and Marketing - to ensure seamless integration of analytics into client solutions
• Strengthen client relationships, identify new business opportunities, and support business development initiatives

Qualifications

• University degree in Mathematics, Statistics, Data Science, Computer Science, or a related field
• Several years of hands-on experience in data analytics, analytical consulting, or related advisory roles, ideally focused on credit risk, fraud analytics, or marketing analytics
• Strong understanding of banking regulatory requirements and analytical use cases within the financial services and payments industry
• Proven expertise in statistical modeling, machine learning, and data mining; proficiency in Python or similar programming languages and PySpark
• Experience with cloud-based data and analytics platforms as well as data visualization tools is considered an advantage
• Fluent German and English language skills

Additional Information

Benefits/Perks:

• A high degree of autonomy in a dynamic, internationally oriented organization
• A motivated team that values innovation and collaboration
• Great compensation package and attractive employee benefits
• Flexible working hours and remote work options

Experian is proud to be an equal opportunity and affirmative action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

#LI-Hybrid

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

Client-provided location(s): Frankfurt, Germany

Job ID: Experian-744000130500750

Employment Type: FULL_TIME

Posted: 2026-06-06T18:38:23