Senior Finance Data Scientist

Were Capital on Tap
Capital on Tap started because small businesses were underserved. Big banks were slow their products werent fit for purpose and small business owners often couldnt access what they needed. We set out to fix that.

Today were a financial platform - not just a credit card company. We offer a best-in-class business credit card SME-focused spend management platform a savings product that hit 1 billion in funds within its first year and a growing suite of tools and financial products that make running a small business easier.

1000 employees 20bn in annual card spend 200000 customers 17000 Trustpilot reviews averaging 4.7 stars and were profitable. Weve done a pretty good job so far but were just getting started!

This is a Hybrid role working from our London (Moorgate) offices 3 days per week.

Finance at Capital on Tap

Our Finance team sits at the heart of everything we do working across our UK and US entities and collaborating closely with the rest of the business to keep our financial foundations solid as we grow. Were a lean high-ownership team - youll get real breadth across the finance function and plenty of room to shape how things are done as we scale.

What Youll Be Doing

Were hiring a Senior Data Scientist to join Capital on Tap reporting to the Head of FP&A.

Youll own two linked workstreams - IFRS9 Expected Credit Loss (ECL) and portfolio modelling that feeds the financial model to produce forecasts. The work spans the UK and US revolving credit books sitting close to Finance Risk and Data Science.

Tech stack: Snowflake dbt Fivetran Python JupyterLab Omni and Kubernetes on Azure.

ECL

• Build calibrate implement and monitor IFRS9 models (PD LGD EAD) including staging/SICR logic and macroeconomic overlays.
• Run and harden month-end ECL production - scenario runs combined outputs and result checks into Snowflake.
• Support provisioning impact analysis and year-end submissions with clear audit trails and documentation.

Portfolio Modelling

• Develop and maintain the portfolio model that feeds the financial model - active customers balances funding repayments finance charges and bad debt.
• Build and backtest forecasting components (spend cashflow cohort/segment rate curves) in Python and dbt.
• Diagnose drift recalibrate assumptions and overlays and deliver forecast inputs Finance can trust.

Across Both

• Partner with FP&A Risk and other stakeholders so model outputs land cleanly in the financial forecast without unnecessary process or IT complexity.
• Improve monitoring automation and documentation so monthly cycles are repeatable and explainable.
• Use AI tools confidently across the workflow and help the team adopt practical AI-assisted ways of working.
• Coach colleagues on modelling methods and our data tools where needed.

Were Looking For

• 2-5 years building statistical/credit risk models in Python and extracting and shaping data in SQL.
• Credit risk modelling experience ideally IFRS9 ECL (PD/LGD/EAD) staging and model monitoring - or a clear desire to build that expertise quickly.
• Commercial understanding of revolving credit economics (utilisation arrears default recoveries portfolio growth).
• Comfort working end-to-end - from analysis and calibration through to production runs and stakeholder-ready forecast inputs.
• Curiosity and judgement in applying AI to modelling and engineering work while keeping outputs explainable and controlled.
• Ability to work autonomously with strong judgement and proactivity in a small team.

Nice to Have

• Experience with some of our stack is helpful - Snowflake dbt Fivetran Python JupyterLab Omni Kubernetes on Azure.
• Experience feeding portfolio/behavioural models into an FP&A or financial planning model.
• Familiarity with LightGBM or similar gradient-boosted models for behavioural forecasts.
• Exposure to model change control independent validation or year-end ECL disclosure packs.
• Prior work across both UK and US (or multi-region) credit portfolios.

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
Access to a reproductive and hormonal health platform via Hertility
Anniversary Rewards (-week fully paid sabbatical)
Salary Sacrifice Pension Scheme up to 7% match
Octopus EV Salary Sacrifice Scheme
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.

#LI-DNI

#LI-DNP

Other Info
Check out ourTop 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 youd 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.)