At Riverty, we believe that everyone should be in control of their own financial situation. Our shared commitment is to make financial solutions more innovative, empathetic and user-friendly to empower financial growth for everyone. To do this, we rely on 50 years of experience and the commitment of over 5,000 creative minds, innovators and explorers in 11 countries.
Are you ready?
As part of our community, you will have the opportunity to develop your skills and transform the world of finance together with us. We create an environment where you can evolve personally and benefit from our flexible working conditions and work-life balance.

(UNLIMITED, FULL-TIME) JOIN OUR TEAM AT ONE OF OUR LOCATIONS IN STOCKHOLM, OSLO, BERLIN, HELSINKI, COPENHAGEN OR AMSTERDAM – FLEXIBLE WORKING CONDITIONS AVAILABLE

Description of position:
The Financial Analytics team supports the Finance organization with advanced analyses and statistical modelling. We tackle a diverse set of projects—from process automation and forecasting to pricing and investment models—driving data-informed decisions across the organization. As a Financial Data Scientist, you’ll play a key role in shaping these initiatives, applying your skills and knowledge to solve interesting financial challenges. The successful applicant will gain exposure to a wide variety of problem domains and is expected to contribute proactively with ideas, technical expertise, and a strong analytical mindset. This is a unique opportunity to work at the intersection of data science and finance, where your insights will have a direct impact on strategic outcomes.

What you will be doing:

• Analyse financial processes to understand how they can be improved and/or automated.
• Build statistical/machine learning models within different areas of Finance (e.g. Pricing, Forecasting, Financial Risk, and more).
• Collaborate with cross-functional teams to identify opportunities for data-driven improvements.
• Communicate insights and recommendations to stakeholders across the organization.
• Exploring new methodologies and technologies to continuously improve the team’s analytical capabilities.

What we’re looking for:

• Master’s degree in quantitative field (e.g. mathematics, engineering, economics, or similar).
• 2+ years of work experience from analytics/quantitative analysis/data science
• Strong analytical mindset with the ability to identify issues, structure complex problems, and draw clear conclusions
• Good knowledge of Python and SQL (or similar). Experience working with the application GenAI/LLMs is a plus.
• Understanding of and interest in financial topics.

Benefits:

• Mobile Office: Opportunity to work from home
• Discounts & Extras: Exclusive Bertelsmann discounts and financial benefits, e.g., €1,500 referral bonus
• Flexible Working Hours and Models: Customize your working hours to suit your needs
• Training & Development: A variety of (online) courses, from language learning to leadership training, e.g., from Bertelsmann University
• Health & Leisure: Supported sports and (mental) health programs, e.g. from our partner TELUS Health
• Appreciative Environment: Diversity and employee networks enrich our culture

EQUAL OPPORTUNITY EMPLOYER STATEMENT

We want to be a fair and inclusive employer. We value the diverse perspectives that a diverse workforce brings to the table. Therefore, we are actively looking for people who enrich our company through their identity, background and personal experiences, with or without a disability

• Analyse financial processes to understand how they can be improved and/or automated.
• Build statistical/machine learning models within different areas of Finance (e.g. Pricing, Forecasting, Financial Risk, and more).
• Collaborate with cross-functional teams to identify opportunities for data-driven improvements.
• Communicate insights and recommendations to stakeholders across the organization.
• Exploring new methodologies and technologies to continuously improve the team’s analytical capabilities