Senior Data Scientist, Ratepay

Fraud & Credit Risk

Salary not provided
SQL
AWS
Python
Senior level
Berlin
Ratepay

Buy-now-pay-later payment solution

Open for applications

Ratepay

Buy-now-pay-later payment solution

201-500 employees

FintechB2BPaymentsFinancial ServicesSaaS

Open for applications

Salary not provided
SQL
AWS
Python
Senior level
Berlin

201-500 employees

FintechB2BPaymentsFinancial ServicesSaaS

Company mission

To offer customisable payment solutions for large online retailers and marketplaces.

Role

Who you are

  • 5 + years of experience working with the whole data science product cycle: conception, research, prototyping, modelling, deployment to production
  • Master’s degree in STEM field
  • Very good engineering skills in Python and familiarity with clean code (pre-commit, black, code reviews etc.), unit testing (pytest) and type hints (mypy)
  • General understanding of SQL and SQL databases. Ability to retrieve data and build data pipelines that feed models in research and (ideally) build pipelines for production
  • Advanced knowledge of statistical learning theory and its application to solve real-world problems
  • Strong stakeholder communication skills with the ability to clearly present ideas, solutions and findings

Desirable

  • MLOps and experience on AWS Cloud
  • Experience in Fintech

What the job involves

  • We are seeking a highly skilled and experienced Senior Full-Stack Data Scientist to take a leading role in enhancing our fraud prevention and credit risk assessment capabilities
  • This role involves researching, developing, and deploying advanced machine learning algorithms into production
  • You will be responsible for every aspect of the data science process, from data collection and pre-processing to building and deploying machine learning models, as well as developing and maintaining production-level codebases
  • In this role, you will collaborate with cross-functional teams to drive innovation and ensure that our solutions are scalable and reliable in a fast-paced environment
  • Lead the research, development and implementation of advanced machine learning models for credit risk assessment and fraud prevention
  • Own data science projects end-to-end, i.e. from ideation and proof of concept to bringing it into production
  • Write clean, efficient, and maintainable code adhering to best engineering practices for data processing, model development, and deployment, ensuring scalability and reliability
  • Pre-process complex financial data and create ETL pipelines to support machine learning models
  • Continuously improve our machine learning workflows, research, and deployment pipelines, ensuring best practices and innovation
  • Collaborate closely with team members and cross-functional teams, utilizing strong communication skills to develop robust machine learning solutions
  • Take ownership of subcomponents of the machine learning infrastructure, ensuring their performance and scalability as the platform evolves

Our take

The rise of eCommerce has increased the demand for flexible and reliable payment solutions. Consumers seek convenience and security in online transactions, while merchants need systems that enhance customer loyalty. Traditional payment methods often fail to meet these expectations, leading to lost sales and customer dissatisfaction.

Ratepay addresses this problem by offering "Buy Now, Pay Later" (BNPL) solutions. Its white-label payment system integrates into merchants' online shops, allowing customers to make purchases on account, in instalments, or via direct debit without leaving the brand's site.

Supported by a robust infrastructure and a commitment to customised solutions, Ratepay has become a leader in the BNPL market. Its successful collaborations with various eCommerce platforms and financial service providers position them for continued growth.

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Freddie

Company Specialist at Welcome to the Jungle

Insights

Led by a woman
Top investors

Company

Company values

  • Ownership
  • Growth
  • Integrity
  • Collaboration
  • Customer Centricity
  • Inclusion

Company HQ

Kreuzberg, Berlin, Germany

Leadership

Founder and Co-CEO of Banxware as well as a Board Member at Freenet, 42 Heirloom, Mercedes-Benz Automobility, Talentsconnect, and the German Startups Association.

Salary benchmarks

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