Senior Data Analyst, Risk & Compliance

Payoneer’s mission is to enable businesses of all sizes from anywhere in the world to access the rising, global economy by enabling them to transact globally as easily as they do locally. Life at Payoneer is a global community, where you’ll work with colleagues all over the world, serving small- and medium-sized business customers and partners in over 190 markets.

We’re looking for a highly motivated team player that will perform Risk & Compliance analyses and investigations, draw conclusions based on data and user behavior and communicate clearly the findings. You will join a dynamic and fast-paced environment and cooperate with other teams and departments to support the monitoring and fraud prevention processes of the Compliance department.

The ideal candidate will have a proven track record in Compliance & Risk, data research, online payments or related eCommerce fields.

What you’ll be spending your time on: 

• Perform Risk qualitative investigations, reviews and analyses
• Draw conclusions based on research of multiple data sets and user behavior
• Conduct research and provide data-driven analytical/risk insights
• Communicate the review findings, take risk related decisions and act upon them
• Work closely with other teams, groups and departments to support the development of risk-related tools, processes and products to improve monitoring mechanisms
• Contribute to end to end data product planning to support the analytical needs of the customers.
  
  

• Solid analytical skills, fast learner
• Flexible attitude and ability to cope with changing requirements
• A team player with strong cross-group collaboration
• Highly motivated, a can-do approach, committed, positive attitude and career oriented
• Pays attention to small details and yet see the big picture
• The ability to work independently with a strong drive for results
• Strong command of Excel and other MS Office Suite tools (Outlook, Word, etc.)
• Good communication skills, both written and verbal
  
  

• Bachelor’s Degree or relevant experience
• 3-5 years experience as a Data Analyst
• Experience with qualitative analysis/investigations to identify trends and patterns
• Experience with data research of high scale data sets
• SQL Proficiency
• Proven critical thinking, problem-solving & self-learning skills
• Proven ability to communicate effectively (both written and verbal)
• Excellent written and spoken English
  
  

• Working in various environments (MSSQL, AWS, Google BQ.)
• Experience in frontend development (Looker, Power BI, Tableau)
• Experience in online risk or fraud prevention or e-commerce or online payments