Principal Product Manager – Machine Learning (Payment Risk)

About us:
Welcome to RatePay – Europe's No. 1 white label payment provider.   We exist so consumers can pay easily, conveniently and safely online.   
 
Established in 2009, Rate Pay is Europe's leading white label BNPL payment provider.   
50% of German shoppers have already paid with RatePay, we manage approx. €4.7 billion in transactions and handle approx. 2.5M transactions per month.   
Our products include installment payments with immediate online confirmation, open invoice, direct debit, and prepayment but what makes us different is that we put our consumers totally in control. How? Because we don't act a payment "brand" in-between our Merchant or Customers, but rather a technology service. 
 
Through our 350+ commercial partnerships we take care of payment transactions for many of the largest online shops & payments providers such as such as Eurowings, About You, PayPal, eBay and many more.   
 
Our vision: 
 To empower commerce, that seamlessly and sustainably connects customers, businesses, and financial partners.   

Our mission: 
 To enable payments...   

• By radically simplifying the way businesses and their customers conduct financial transactions
• Developing state-of-the-art customer-centric technology
• And placing people, society, and the environment at the core of our actions
• 
  

The role:
As part of a diverse and cross-functional Product Management Team, you take active ownership of your product area, i.e., one of the key Machine Learning teams – managing payment risk.  
 
You lead a key team of Data Scientists and ML Engineers to build robust and scalable ML products. You also enable Ratepay to be more data-informed and make advanced data-driven decision-making feasible primarily in fraud and/ or credit risk management. 
Sounds like a match? Let's talk and see what we can come up with together! 

What you'll do:

• You are responsible for the extensive development of ML products in payment risk management area (Fraud or Credit risk) based on customer, stakeholder and market needs. 
• Together with the Product and platform teams, and stakeholders, you develop quarterly and annual product plans (product roadmap) and drive the discovery and implementation of products that help us reach our quarterly and yearly goals.
• You will lead a Scrum team comprising Data Scientists, ML Engineers and Data Engineers – be responsible for user story refinement, manage and prioritise the product backlog.
• Collaborate with internal teams and external partners to work on delivering robust AI/ML solutions to meet customer needs.
• Monitor open bugs, missing data, output precision issues, and result incompleteness and inconsistency.
• Ensure that all the requirements for ML capabilities are fulfilled. Furthermore, oversee the development, management, and maintenance of multiple ML pipelines and tools.
• Work with various teams to test machine learning models frequently to ensure they work and accelerate time-to-market based on real-world estimates.
• Identify the right use cases for machine learning, including business cases.
• Evaluate what metrics need to be tracked to improve machine learning models.
• Identify new business opportunities that can utilize AI/ML technology to drive CM1 margin/ profitability and reduce bad debt.
• Conduct peer market research and benchmark relevant aspects of ML capabilities in payment risk management.

• You have at least 5 years of relevant working experience in machine learning product management.
• You are a subject matter expert in some area of payment risk management – particularly credit or fraud risk management.
• You have a strong data analytics acumen – including understanding of machine learning algorithms, concepts, feature engineering, and machine learning lifecycle management, among others.
• Fundamental understanding of AI and other specialized concepts like deep learning.
• Complete understanding of various machine learning branches, such as supervised learning, unsupervised learning, federated learning, active learning, reinforcement learning, transfer learning, multi-task learning, and meta-learning.
• You have experience managing Scrum teams comprising Data Scientists and ML Engineers
• You are passionate about data and want to get involved in a rapidly growing company; experience working with OKRs is a plus.
• You have an analytical and structured personality and keep on track in fast working environments.
• You have good English skills, both written and spoken.

• Flexible working hours and mobile office options for individual solutions to balance work and family life
• A safe working environment with plenty of room for creativity
• Room for personal growth and professional development
• Trustful interaction in a welcoming team with flat hierarchies
• A challenging job in a rapidly growing industry
• Company and team events, knowledge exchange and the opportunity to contribute your ideas
• Ratepay company pension plan
• The opportunity to get involved in social projects as part of our sustainability initiative
• Become a digital nomad: Work with Ratepay from any country within the EU for up to 3 months per year
• A monthly mobility budget
• Relocation assistance (not a guarantee)

We value our diversity and welcome everyone to our team. Regardless of ethnic and social background, religious beliefs, world view, gender, sexual orientation, physical and mental limitations, age, marital status, educational background and nationality. 

Our values:
With over 250 employees and 40 different nationalities we take our values seriously. These include; ownership, growth, integrity, collaboration, customer centricity and inclusion (4/7 of our C-Level Board members are and female).