Capital on Tap - Fraud & FinCrime Data Scientist
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Requirements
• Direct experience working in card fraud - ideally within a bank, card issuer, or fintech operating on the issuing side. • card fraud • issuing side • Hands-on familiarity with card fraud systems and the data that comes with them (Visa fraud platforms, CNP fraud, 3DS/SCA, PSD2 compliance) • 3DS/SCA, PSD2 • Experience with APP fraud or faster payment fraud systems is a strong bonus. • APP fraud or faster payment fraud systems • Diversity & Inclusion 🌈We welcome, consider and encourage applications from anyone who shares our commitment to inclusivity. Join us in creating a space where authenticity thrives, and everyone can do their best work. • Diversity & Inclusion
Responsibilities
• We're looking for a highly technical Risk Analyst/ Data Scientist to join our Fraud & Financial Crime Team. The focus of this role will be more on FinCrime, using data and analytics to innovate and optimise our risk based decision making for the purpose of minimising fraud losses and maximising regulatory compliance. Playing a central role in our analytics team, responsibilities of your role will include: • Fraud & Financial Crime Team. • FinCrime, • Financial Crime • Supporting the launch of new products and balancing the need for robust fraud and financial crime controls whilst maintaining a positive customer experience • Working with external vendors to continually evaluate innovative or alternative products and tools • Proactively championing best use of AI to accelerate delivery of analytical output and as an integral part of our business solutions • Present and actively collaborate with a wide group of business stakeholders including Operations, Credit, Senior Management, and external business partners • We’re Looking For 🔎 • Experience creating and optimising FinCrime detection rules and reports, ideally then building models from this • FinCrime detection rules and reports, • Highly analytical and comfortable conducting complex analysis using SQL and Python • using SQL and Python • Exceptional detail orientated, problem solving skills and the ‘can do’ attitude to thrive in a fast paced, high growth environment • Excellent collaboration skills and a natural team player • Strong verbal communication skills including the ability to clearly explain complex concepts to other analysts, business stakeholders and senior leadership • 2.1 or above at degree level, preferably in Economics or STEM subject • Diversity & Inclusion 🌈We welcome, consider and encourage applications from anyone who shares our commitment to inclusivity. Join us in creating a space where authenticity thrives, and everyone can do their best work. • Diversity & Inclusion
Benefits
• Check out more of our benefits, values and mission here. • Other Info👍Check out our ‘Top Tips’ for interviewing.✔️Keep updated on new job opportunities by following us on Linkedin.📧Email [email protected] if you have any questions. • Other Info • Excited to work here? Apply!If you’d like to progress your career within our fast growing, profitable fintech then click apply and we will aim to get back to you within 3 working days (during busy periods this could take up to 5 working days.) • Excited to work here? Apply!
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