Lock Applications for this job are now closed
Closing soon

The Role

You will be utilising data to assess consumer risk and merchant risk and will bring a strategic mindset to identifying and mitigating potential risks.

We are offering the chance to work in a fast-paced, industry leading environment where you will have the support and development to grow your career and the freedom to work autonomously.

What you will do

  • Drive risk decisions and support Paysafe’s growth through consumer risk management

  • Analyse wallet risk, transaction risk and financial instrument risk to suggest risk mitigation while driving business and revenue growth
  • Identify fraud trends with automatic alerts to reduce large fraud losses and systematic attacks
  • Define key measurements and KPIs to determine optimal and scalable risk strategies
  • Apply relevant machine-leaning solutions to improve risk decision accuracy
  • Recommend risk solutions using A/B testing and leverage internal and external data to increase the efficiency of risk actions
  • Develop self-serving dashboards to empower business partners
  • Design risk frameworks that balance financial risk and customer experience to enable safe and secure business innovation
  • Create a seamless customer experience through frictionless authentication methods
  • Provide risk requirements to partners and stakeholders to ensure Paysafe delivers the best product on the market while meeting financial goals

You will have

  • A Masters or Undergraduate degree in Mathematics, Data Science, Computer Science or another relevant area
  • A strong interest in fintech and the payments industry
  • The ability to frame business problems, propose the measuring matrix and design risk solutions using large volumes of data in a fast-paced environment
  • Proficiency in SQL and code-writing experience with Python or R
  • Expertise in data visualisation tools such as Tabulate, power BI, QlikView
  • Ability to perform hands-on data analysis and deliver action-able recommendations
  • Experience with statistical models
  • Prior experience in data analytics automation to reduce repetitive data reporting processes

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.