Financial Crime Data Scientist

  • Paysafe
  • Sofia, Bulgaria
  • 17/11/2021
Full time Analysts Compliance Finance Legal

Job Description

Paysafe Limited (NYSE:PSFE) (PFSE:WS) is a leading specialized payments platform. Its core purpose is to enable businesses and consumers to connect and transact seamlessly through industry-leading capabilities in payment processing, digital wallet, and online cash solutions. With over 20 years of online payment experience, an annualized transactional volume of US $92 billion in 2020, and approximately 3,400 employees located in 12+ global locations, Paysafe connects businesses and consumers across 70 payment types in over 40 currencies around the world. Delivered through an integrated platform, Paysafe solutions are geared toward mobile-initiated transactions, real-time analytics and the convergence between brick-and-mortar and online payments. Further information is available at .

As a Data Scientist working on Financial Crime Prevention, you will develop, evaluate, and improve the entire range of Paysafe’s online payments products and solutions. You will collaborate closely with a multi-disciplinary team of engineers, financial crime analysts and product managers to develop new science and to translate it into deployed machine learning solutions at scale. You will play a key role in developing new paradigm-shifting ideas and machine learning methods that drive financial crime prevention and business generation. In doing so, you will be a key part of building and driving impact on large-scale online payment systems both at Paysafe and in the online payments technology industry, globally.


  • Design and develop machine learning solutions for online payments financial crime prevention
  • Bring state-of-the-art machine learning research into our financial crime prevention practice
  • Drive innovation in using alternative data sources for prevention of financial crime
  • Work closely with operation teams, analyze financial crime patterns, and create and adapt machine learning based financial crime prevention mechanisms while focusing on the customer’s experience
  • Identify and qualify business opportunities and work with business and product teams to ensure machine learning solutions are addressing the correct business needs
  • Provide machine learning expertise to support the technical relationship with Paysafe divisions, including solution briefings, proof-of-concept work, and partner directly with product management to prioritize solutions impacting our business performance
  • Own machine learning models end-to-end, from collecting data to deploying in production and monitoring
  • Be responsible for the quality and ongoing evaluation of the machine learning models
  • Work closely with product and IT teams to successfully integrate machine learning models into our products
  • Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution
  • Collaborate with other engineers to build common tools for accelerating machine learning operations internally


  • BSc or MSc degree in Mathematics, Computer Science, Machine Learning, or related technical field
  • Solid understanding of machine learning fundamentals
  • Strong analytical skills
  • Minimum 2 years of professional experience in machine learning
  • Proven ability to implement, debug, and deploy machine learning models in industry
  • Experience in at least one of the deep learning applications following: Computer Vision, Natural Language Processing or Speech Recognition
  • Ability to conduct applied research and bring it to production solutions
  • Proficiency in Python
  • Proficiency in SQL
  • Professional experience with Tensorflow/PySpark or another popular ML framework
  • Experience working with cloud technology stack (AWS, Azure, etc.) and developing machine learning models in a cloud environment
  • Ability to write high-quality code
  • Result oriented team player
  • Strong communication skills and excellent spoken and written English

We offer in return

  • The opportunity to write FinTech history, instead of watching it happen from the sidelines
  • A personalized onboarding program and a vast array of available courses and trainings
  • A clearly defined career ladder, with multiple paths and opportunities for growth
  • An environment where your opinion matters
  • Competitive remuneration and social benefits package (25 days annual paid leave, health insurance, sports card, team events, company discounts, variety of soft skills, business and technical training programs)
  • The most fun you can have while getting paid for it

Are you ready to take your career to the next level?

Send your CV in English and include a link to a digital portfolio of your work with your application.

Only shortlisted candidates will be contacted for an interview.

Equal Employment Opportunity

Paysafe provides equal employment opportunities to all employees, and applicants for employment, and prohibits discrimination of any type with regard to ethnicity, religion, age, sex, national origin, disability status, sexual orientation, gender identity or expression, or any other protected characteristics. This policy applies to all terms and conditions of recruitment and employment. If you need any reasonable adjustments please let us know. We will be happy to help and look forward to hearing from you