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Data Scientist - Risk Analysis

Capital on Tap
London
1 week ago
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Data Scientist - Risk AnalysisWe're Capital on TapCapital on Tap was founded with the mission to help small business owners and make their lives easier. Today, we provide an all-in-one business credit card & spend management platform that helps business owners save time and money. Capital on Tap proudly serves over 200,000 businesses across the world and our goal is to help 1 million small businesses by 2030.

Why Join Us?We empower you to be innovative and solveplex problems. Take ownership, make an impact, and thrive in our scaling and agile environment.

This is a Hybrid role, the Risk team work from our London (Shoreditch) Offices 3 days per week.

What You'll Be DoingWe're looking for a Risk Analyst to join our risk analytics team. You will work across Fraud, Fincrime, Collections and Disputes using data and analytics to innovate and optimise our risk based decision making for the purpose of minimising credit losses and maximising regulatorypliance. Playing a central role in our risk analytics team, responsibilities of your role will include:

Owning, monitoring and continually optimising our fraud detection rules Applying advanced analytics to maximise the efficiency and effectiveness of our Financial Crime detection processes Maximising the performance of our collections function through scoring and segmentation to optimise our approach at a customer level 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


Your role will involve presentation to and active collaboration with a wide group of business stakeholders including Operations, Credit, Senior Management and external business partners.

We're Looking For
At least three years of risk analysis experience ideally including credit cards, fraud, collections or fincrime Highly analytical andfortable conductingplex analysis 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 verbalmunication skills including the ability to clearly explainplex concepts to other analysts, business stakeholders and senior leadership
or above at degree level, preferably in Economics or STEM subject
Diversity & Inclusion
We wee, consider and encourage applications from anyone who shares ourmitment to inclusivity. Join us in creating a space where authenticity thrives, and everyone can do their best work.

Great Work Deserves Great PerksWe try not to take ourselves too seriously (all the time) so we make sure our office is decked out with a pool table, arcade machine, beer tap, and a couple of office dogs thrown in for good measure. Check out our benefits:
Private Healthcare including dental and opticians services through Vitality
Worldwide travel insurance through Vitality
Anniversary Rewards (£250, £500, £750, 4-week fully paid sabbatical)
Salary Sacrifice Pension Scheme up to 7% match
28 days holiday (plus bank holidays)
Annual Learning and Wellbeing Budget
Enhanced Parental Leave
Cycle to Work Scheme
Season Ticket Loan
6 free therapy sessions per year
Dog Friendly Offices
Free drinks and snacks in our offices

Check out more of our benefits, values and mission here.

Interview Process
First stage: 30 minute intro and values call with Talent Partner (Video call) Second stage (in person): 45min technical assessment 60min case study 45minpetency based interview Final stage: 30 minute executive interview
Other InfoCheck out our 'Top Tips' for interviewing.
• Keep updated on new job opportunities by following us on Linkedin.
Email careers@capitalontap if you have any questions.

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.) Job ID 8023316002

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