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Data scientist

London
Capital on Tap
Data scientist
Posted: 24 November
Offer description

We're Capital on Tap
Capital 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 solve complex 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 (EC1Y 8LZ) Offices 3 days per week.

What You'll Be Doing
We're looking for a Risk Analyst to join our Fraud & Financial Crime Team. You will work across Fraud and 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:

* Owning, monitoring and continually optimising our fraud detection rules
* Applying advanced analytics to maximise the efficiency and effectiveness of our Financial Crime detection processes
* 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

* At least three years of risk analysis experience ideally including credit cards, fraud or fincrime
* Highly analytical and comfortable conducting complex 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 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.

Great Work Deserves Great Perks
We 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 video call with Talent Partner
* Second stage: 45 minute video call with the Hiring Manager
* Final stage: 90 minute in person interview covering technical competencies, culture and values

Other Info
Check out our 'Top Tips' for interviewing.
Keep updated on new job opportunities by following us on Linkedin.
Email 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.)

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