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- Tasks: Develop and monitor predictive models to enhance customer experience and risk analysis.
- Company: Join Capital on Tap, a fintech helping small businesses thrive with innovative credit solutions.
- Benefits: Enjoy hybrid work, private healthcare, 28 days holiday, and a vibrant office culture.
- Why this job: Make a real impact in a fast-paced environment while collaborating with a dynamic team.
- Qualifications: 2-5+ years in statistical modelling with Python and SQL; financial acumen is a plus.
- Other info: Dog-friendly offices and a focus on inclusivity make this a unique workplace.
The predicted salary is between 43200 - 72000 £ per year.
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 Data Science team work from our London Offices 3 days per week.
Data Science Team at Capital on Tap
Are you a driven and dedicated Data Scientist looking to work in a fast-moving environment and initiate meaningful change?
We are looking for a talented and experienced credit risk modeller to join the Data Science team in the continued success of our rapid growth trajectory.
What You\’ll Be Doing
- Build, implement and monitor IFRS9 models across the UK and US
- Develop predictive models, influencing our strategy across the entire customer lifecycle from marketing through to collections
- Help coach and develop colleagues in various departments on data science tools and techniques, as well as taking a direct lead on the projects in these areas
- Collaborate with business stakeholders to ensure risk analysis can be implemented seamlessly without deterioration to customer experience or complex IT builds
We\’re Looking For
- 2-5+ years experience building statistical models in Python and extracting/manipulating data in SQL
- Commercial acumen and a robust understanding of the economics underpinning revolving credit portfolios gained through either consultancy or direct work in a financial institution
- Able to work autonomously and to display strong judgement and proactivity within a small credit team
- Experience with some of our data stack would be beneficial but this is not a requirement. We use Snowflake (SQL based), DBT, FiveTran. Python / JupyterLab. Looker. Kubernetes cluster, hosted in Azure.
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.
We work hard, but we also believe in celebrating our successes and fostering a vibrant culture. Our Cardiff office is designed to be a fun and collaborative space, complete with a couple of office dogs!
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
Want to learn more about our values, mission, and benefits? Check out our careers pagehere .
First stage: 30 minute intro and values call with Talent Partner (Video call)
Second stage: 45 minute CV overview with a member of the Data Science team (Video call)
Third stage: On site interview with our Head of FP&A, and our CFO
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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Senior Finance Data Scientist New London employer: Capital on Tap
Contact Detail:
Capital on Tap Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Finance Data Scientist New London
✨Tip Number 1
Familiarise yourself with the specific data stack mentioned in the job description, especially Snowflake and Python. Having hands-on experience or even completing a project using these tools can set you apart during the interview process.
✨Tip Number 2
Showcase your understanding of credit risk modelling by preparing examples of past projects where you've successfully built and implemented statistical models. Be ready to discuss how these models influenced business decisions.
✨Tip Number 3
Research Capital on Tap's mission and values thoroughly. During your interviews, align your answers with their commitment to helping small businesses and demonstrate how your skills can contribute to this goal.
✨Tip Number 4
Prepare to discuss your experience in coaching and developing colleagues. Highlight any instances where you've shared knowledge or led projects, as this aligns with their emphasis on collaboration within the Data Science team.
We think you need these skills to ace Senior Finance Data Scientist New London
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Senior Finance Data Scientist position. Understand the key responsibilities and required skills, especially around building statistical models in Python and SQL.
Tailor Your CV: Customise your CV to highlight relevant experience that aligns with the job requirements. Emphasise your experience in credit risk modelling and any specific tools mentioned, such as Snowflake or 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 can contribute to Capital on Tap's mission and growth.
Prepare for Interviews: Anticipate questions related to your technical skills and past experiences. Be ready to discuss how you would approach building predictive models and collaborating with stakeholders to enhance customer experience.
How to prepare for a job interview at Capital on Tap
✨Understand the Company Mission
Before your interview, make sure you understand Capital on Tap's mission to help small business owners. Familiarise yourself with their products and how they impact customers. This will show your genuine interest in the company and its goals.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and any relevant data science tools. Highlight specific projects where you've built statistical models or worked with data stacks similar to those used at Capital on Tap, such as Snowflake or DBT.
✨Demonstrate Commercial Acumen
Since the role requires a robust understanding of revolving credit portfolios, be ready to discuss your previous experiences in financial institutions or consultancy. Share examples that illustrate your ability to apply data science in a commercial context.
✨Prepare for Collaborative Scenarios
Expect questions about teamwork and collaboration, especially regarding coaching colleagues on data science tools. Think of examples where you've successfully worked with stakeholders to implement risk analysis without compromising customer experience.
