Associate Risk Analyst

Key Skills

Data science techniques, Effective communication skills, Google sheets, Google Suite, Looker, Machine learning techniques, Microsoft Office suites, Microsoft-Excel, Presentation skills, SQL

Job Description

The ideal candidate and future fraud fighter will:

• Have proven ability to make decisions with limited and conflicting information.
• Have strong data analysis and interpretation skills.
• Have strong critical thinking skills with advanced judgment capability.
• Have an ability to manage multiple assignments while working independently.
• Have strong communication & presentation skills. 
• Have flexibility to work weekends and holidays
• Be highly proficient in G-suite (Doc, Sheets, Slides) /Microsoft Office (Excel).
• Be fluent in English.

You will be learning more about:

• Identifying fraud patterns, trends and emerging threats. 
• Fraud attributes for a variety of verticals within the e-commerce industry.
• Fighting fraud in North America, Latam, EMEA, and APAC.
• Using sophisticated fraud prevention tools. 

Your day to day will include:

• Analyze large data sets to identify and extrapolate fraud trends & propose effective and refined solutions.
• Monitor performance dashboards to look for anomalies. 
• Investigate high risk alerts.
• Produce analytical reports that provide actionable insights on fraud patterns.
• Identify ideas for new Machine Learning features or rules, working closely with Decision Science teams to improve model performance.
• Keep up to date on the latest fraud trends.

Desired skills but not required:

• Be working towards or completed a degree in Business Technology, Business Analytics, Financial Technology, Data Science.
• Be familiar with data analytics & end user software such as Looker or SQL.
• Some fraud prevention or payments space experience.