Ravelin Technology
Make smarter decisions on fraud and payments
Fraud detection • Chargeback prevention • Machine Learning • Artificial Intelligence • Payments
51 - 200
Investigations Data Analyst
May 11
🔄 Hybrid – London
Ravelin Technology
Make smarter decisions on fraud and payments
Fraud detection • Chargeback prevention • Machine Learning • Artificial Intelligence • Payments
51 - 200
Description
• We are currently looking for a mid level data scientist to join a fantastic team of client-facing data scientists and client support analysts. • You will be working with data scientists and crime analysts to discover patterns and trends concerning fraud in our clients' data. • In this key role, you'll be applying exploratory analysis to form realistic and useful narratives from data, asking “why” as well as “what” and “how". • You will interact directly and indirectly with clients to help them understand what is happening with their fraud.
Requirements
• Experience or training as a data analyst, intelligence analyst or data scientist • Strong critical thinking skills, intuitively curious and able to diagnose data issues • Strong communication and presentation skills • Diligence, attention to detail, ability to prioritise and follow through on tasks • Experience with SQL - ability to run complex queries to answer your own questions
Benefits
• Flexible working hours, hybrid working model, office in Old Street and a £500 home office budget • Share options • 25 days holiday + bank holidays + extra day off per year of service (up to 5) + 1 extra day off for cultural reasons • Private Healthcare through Bupa • Company pension scheme • Extra Monthly company-wide days off - the Wellbeing & Learning Days • £1000 annual wellbeing budget to spend through Heka • Mental health support through Spill • Enhanced parental benefits • Company socials, team social and budget for microsocials that anyone can organise for any event • Ravelin Gives Back (RGB) - monthly charitable donations and regular volunteering opportunities • Fortnightly team lunches with a randomised group of people from across the company, virtually (via Deliveroo) or in-person • Weekly board game nights • Cycle to work scheme
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