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Senior – Fraud Analyst
Posted on 9/22/2022
New York, NY, USA
Experience Level
Desired Skills
Business Strategy
Data Analysis
Data Science
  • A degree from a university in a numerate subject (e.g. Economics, Science, Engineering, Mathematics)
  • Exceptional analytical thinking abilities, decision making and problem solving skills
  • Strong proficiency in SQL with the ability to analyse large quantities of data using statistical analysis tools such as Python or R
  • Experience in the entire Analytics lifecycle, from requirements gathering, data extraction, manipulation and analysis to sharing insights and advising on decision making
  • Excellent track record in optimizing business performance and identifying gaps in business strategy, with a focus on financial services, ideally fraud
  • Working proficiency and communication skills in verbal and written English
  • Fantastic stakeholder management skills
  • Passion for learning about Fraud
  • Use statistical analysis tools and techniques to develop automated fraud detection and real-time decisioning strategies
  • Collaborate with Data Scientists to build and implement fraud pattern models
  • Work with other teams across the business (particularly Engineering, Product and Commercial) to devise robust fraud strategies for new products and markets
  • Create, test and monitor new fraud tools and strategies from scratch
  • Work on proof of concepts involving new technologies and proactively seek out vendor and internal solutions to fraud problems
  • Ensure metrics and strategies are fit for purpose in terms of the current fraud environment and emerging threats
  • Work closely with the investigations team to understand threats and develop mitigations
  • Communicate and involve stakeholders to respond to any fraud related incidents as the first touchpoint for Legal, Finance, Engineering, Data Science and other partners

1,001-5,000 employees

Payments service for ecommerce