Risk Analyst Intern

Summary

Join a team of fraud experts in the Risk Intelligence team to fight fraud and help customers succeed. As a Risk Analyst Intern, you will maximize model performance, review online transactions, provide fraud insights, and support key merchants. You will analyze large datasets to identify fraud trends, monitor merchant performance, identify fraud patterns, and produce analytical reports. You will also describe fraud trends to merchants, identify ideas for new machine learning features, and stay updated on the latest fraud trends. The ideal candidate will possess strong data analysis, critical thinking, and communication skills. This is a 12-month internship starting in Summer 2025.

Requirements

• You possess an exceptional ability to make decisions with limited and conflicting information
• You should have strong data analysis and interpretation skills
• You have strong critical thinking skills with advanced judgment capability
• An ability to manage multiple assignments while working independently
• Strong communication & presentation skills with internal and external stakeholders
• Competent use of G-suite (Doc, Sheets, Slides) /Microsoft Office (Excel)
• Be working towards or completed a degree in Business Technology, Business Analytics, Financial Technology, Finance, Economics, Business Management or Business Economics

Responsibilities

• Analyse large data sets to identify and extrapolate fraud trends & revenue maximisation opportunities. Proposing effective and refined solutions
• Monitor and optimise merchant performance
• Identify fraud patterns, trends and emerging threats
• Produce analytical reports that provide actionable insights on fraud patterns
• Describe and explain fraud trends to merchants and non fraud departments
• 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, researching web (dark and surface) and industry, and suggest counter measures

Preferred Qualifications

Data analytics & end user software (Looker or SQL)

Benefits

• A base salary of £20,000
• A performance related bonus
• 20 days of annual leave plus 10 public holidays
• Free snacks and drinks in the office
• A LinkedIn Learning account
• Have a great setup and working environment to help you do your job
• Take part in (or drive) our social/community events