At a Glance
- Tasks: Join our risk analytics team to optimise fraud detection and financial crime processes.
- Company: Capital on Tap helps small businesses thrive with innovative credit solutions.
- Benefits: Enjoy perks like private healthcare, a dog-friendly office, and 28 days holiday.
- Other info: Hybrid role based in Shoreditch, London with a fun office culture.
- Why this job: Make an impact in a fast-paced environment while collaborating with diverse teams.
- Qualifications: 3+ years in risk analysis; strong skills in SQL and Python required.
The predicted salary is between 36000 - 60000 £ per year.
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 (Shoreditch) Offices 3 days per week.
What You\'ll Be Doing We\'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 regulatory compliance. 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 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 intro and values call with Talent Partner (Video call)
- Second stage (in person):
- 45min technical assessment
- 60min case study
- 45min competency based interview
- Final stage: 30 minute executive interview
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.) #J-18808-Ljbffr
Data Scientist - Risk Analysis in London employer: Capital on Tap
At Capital on Tap, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to innovate and make impactful contributions. Located in the vibrant Shoreditch area of London, our hybrid work model allows for flexibility while enjoying a range of perks including private healthcare, generous holiday allowances, and a fun office environment complete with games and office dogs. Join us to grow your career in a supportive setting that values collaboration and personal development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Risk Analysis in London
✨Tip Number 1
Familiarise yourself with the latest trends in risk analysis, particularly in fraud detection and financial crime. Being able to discuss recent developments or tools during your interview will show your passion and commitment to the field.
✨Tip Number 2
Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on a small project or case study that showcases your ability to analyse data effectively, which you can reference during your discussions.
✨Tip Number 3
Prepare to demonstrate your problem-solving skills by thinking of specific examples from your past experience where you've successfully tackled complex issues. This will help you stand out as a candidate who can thrive in a fast-paced environment.
✨Tip Number 4
Since collaboration is key in this role, think about how you can showcase your teamwork abilities. Be ready to share instances where you've worked with diverse teams or stakeholders to achieve a common goal, highlighting your communication skills.
We think you need these skills to ace Data Scientist - Risk Analysis in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in risk analysis, particularly in areas like fraud, collections, and financial crime. Use specific examples to demonstrate your analytical skills and familiarity with SQL and Python.
Craft a Compelling Cover Letter:Write a cover letter that showcases your passion for helping small businesses and your understanding of the fintech industry. Mention how your skills align with Capital on Tap's mission and values, and express your enthusiasm for the role.
Showcase Your Analytical Skills:In your application, provide examples of complex analyses you've conducted in previous roles. Highlight any experience you have with fraud detection rules or optimising risk-based decision-making processes.
Prepare for the Interview Process:Familiarise yourself with the interview stages outlined in the job description. Be ready to discuss your technical skills in detail and prepare to explain complex concepts clearly, as you'll be collaborating with various stakeholders.
How to prepare for a job interview at Capital on Tap
✨Understand the Role
Make sure you have a solid grasp of what a Data Scientist in Risk Analysis does. Familiarise yourself with key concepts like fraud detection, financial crime analytics, and credit loss minimisation. This will help you answer questions more confidently and show your genuine interest in the role.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL and Python in detail. Have examples ready that demonstrate how you've used these tools to solve complex problems in previous roles. This is crucial as technical proficiency is a key requirement for the position.
✨Prepare for Case Studies
Since the interview process includes a case study, practice analysing data sets and presenting your findings. Think about how you would approach real-world scenarios related to risk analysis, and be ready to explain your thought process clearly to the interviewers.
✨Communicate Effectively
Strong verbal communication skills are essential for this role. Practice explaining complex concepts in simple terms, as you'll need to collaborate with various stakeholders. Being able to convey your ideas clearly will set you apart from other candidates.
