Pricing and Customer Lifetime Value Analyst / Data Scientist (m/f/d)

Your New Team

Your role sits in the pricing and customer lifetime value management team and plays a critical part in enhancing our loan pricing strategies by leveraging advanced analytics and modelling techniques.

You will develop valuable commercial knowledge and technical experiences while working with senior commercial stakeholders and experienced data scientists. This role is suitable for both junior and experienced analysts with a background in data science who are looking to make a visible impact on the performance of a company.

What You Can Expect

• Perform regular monitoring of the conversion rate and pricing performance of the portfolio and pricing tests. Identify opportunities for pricing improvement and optimisation and make data-driven recommendations.
• Adjust the pricing logic (in Python) to implement the price change. Conduct necessary pricing accuracy checks to ensure the implementation is error-free.
• Together with the Pricing & CLV team and the data science team, develop and improve the pricing algorithm that automatically optimises for the total profit within business hurdles, while being fair to customers.
• Using the test-and-learn approach to generate insights that can drive actions and improve the portfolio profitability. Support the design and the implementation of the test.
• Develop and implement predictive models for various business needs, such as conversion propensity models, application propensity models, or build segmentation models.
• Collaborate with cross-functional teams, including Product Managers, Risk Management and senior stakeholders, to present monitoring results and align pricing strategies according to the business needs and limitations. Act as a subject matter expert in pricing discussions.
• Support any other analytical ad-hoc requests when necessary.
  
  

Your profile

• Proficiency in data manipulation, statistical analysis and modelling, using tools such as Python, SQL or similar. Good statistical knowledge and practical experience in designing and conducting A/B tests. Experience with machine learning techniques and data mining is preferred.
• Strong attention to detail, problem-solving skills and a data-driven mindset. Proven ability to analyse large datasets, extract meaningful insights, and make data-backed recommendations.
• Solid understanding of personal lending products and the pricing dynamic. Ability to translate technical findings into business insights.
• Exceptional communication and presentation skills. Ability to interact effectively with cross-functional teams and convey complex technical concepts to non-technical stakeholders.
• Collaborative and adaptable with a strong sense of ownership and accountability. Able to work effectively in a goal-oriented environment.
• Experience in the financial service industry is preferred
• Bachelor's degree in a relevant field such as Data Science, Statistics, Computer Science, Mathematics, or a related discipline. Advanced degrees (Master's or Ph.D.) are a plus.
• Proficiency in programming languages such as Python or SQL is required.
• Strong written and verbal communication skills in English.
• Previous experience in data science, analytics, or modelling roles within the financial industry is a plus.
  
  

What We Offer

• Family-friendly and flexible working hours and generous home office regulations, so that you can shape your environment according to your personal needs
• Ergonomic workstations for your days in the office
• Short decision-making processes so that you can work independently at all times
• Plenty of room for creativity and development, including an annual development budget, so that we can all grow together.
• Fun should not be missing either. We offer numerous events across all divisions!
• Train ticket or parking space? We subsidize your choice of mobility
• You prefer to get to work by bike? Then use our company-owned bicycle cellar to safely store your bike there.
• Do you like to exercise? With us you can take part in free sports activities or simply sign up for a discounted membership at Fitness First or Urban Sports Club.
• We also think about your future. We offer subsidies for the company pension scheme.
• Other offers to suit your individual lifestyle (corporate benefits program, offers for parents, travel enthusiasts...)
  
  

For us as an employer, equal opportunities and diversity are especially important. Therefore, we welcome applications from mothers, fathers, people with disabilities and people from the LGBTQIA+ community. Please feel free to let us know if, for example, you would like us to use a gender-neutral pronoun, if you need barrier-free access to our office, or if you would like us to allow more time for the application process.

About Us

You are passionate about agile work and would like to create every day differently? Then you are exactly right with us! We are auxmoney - one of the most successful Fintech companies in Germany and the largest credit marketplace in Continental Europe. Private and institutional investors invest directly in pre-approved loans via auxmoney.

As a company, we combine the start-up mentality with the security of a successful Grown-Up. Together we work at our locations in Düsseldorf, Budapest, Dublin and Málaga.

Thanks to flat hierarchies and a diversity of creative and development opportunities, you can achieve excellent results on your own responsibility and work on exciting projects. You can simplify processes and products and thus actively shape auxmoney as a company in a sustainable manner.

Regardless of whether you are an intern or a manager: everyone makes a valuable contribution at auxmoney.

You are also welcome to visit us on our social media channels to gain a better impression of us.