Data Analyst
Capi Money
Location
London
Employment Type
Full time
Location Type
Hybrid
Department
Finance
Capi is building the financial infrastructure for emerging markets trade.
Backed by $18M+ from top-tier investors like Creandum, Y Combinator, General Catalyst, and angels from Revolut, Checkout, Stripe, and Remitly, we’re building the financial infrastructure that emerging markets deserve.
By making global trade smoother and more accessible, we help local businesses grow faster, hire more people, and power prosperity across their communities.
Our mission is to grow GDP in emerging markets by making the global financial system fairer and more accessible. We’re tackling global trade, making it easier for importers to pay their international suppliers. Our platform enables businesses to expand rapidly, create jobs, and be engines of prosperity for their countries.
Our team is made up of approx 80 people across 10 countries; we are a group of a highly-ambitious, get-it-done people, who like to work hard on something that has a tangible impact in the world. And we’re looking for more people to join our team!
Take a look through Capi’s mission & values.
About the Role:
This is a unique opportunity to join us in a high-impact, hands-on role at a pivotal stage of our growth. As the second hire in our data function, you’ll have significant scope to shape the direction of the team, take ownership of critical initiatives from day one, and work closely with our Data Lead to build strong foundations.
As a member of our central Data team, you will deliver high-impact analytics that support decision-making across the company. Your core mandate will be to ensure teams have the insights and tools they need to operate effectively.
Responsibilities:
Cross-functional business partnering, including:
Building internal tools for the Treasury function to improve real-time visibility and risk management.
Analysing operational performance (e.g., processing times, SLAs) to identify bottlenecks and improvement opportunities.
Partnering with the Finance team on analytical projects such as unit economics, revenue analysis, and forecasting.
Designing and structuring our Compliance analytics layer, including trend monitoring, risk flagging, reporting support, and SLA tracking.
Strategic analysis
Delivering deep-dive analyses to support leadership decision-making and board reporting.
Data accessibility
Building and continuously improving self-serve dashboards to enable teams to access reliable insights independently.
Data infrastructure support
Working closely with the Data Lead to maintain a healthy and efficient data pipeline.
Designing and maintaining robust, scalable data models.
In this role, you will translate ambiguous business questions into structured analytical frameworks and scalable data solutions.
What We’re Looking For:
Experience:
6–8+ years in Data Analytics, Data Science, or Analytics Engineering.
Proficient SQL skills (advanced querying, modelling, performance optimisation).
Experience with modern data warehouses (Postgres, Snowflake, BigQuery, Redshift, etc.).
Prior relevant experience in the fintech space (Payments, FX preferred - exposure to liquidity management, or financial risk analytics a plus.)
Extra credit for Python programming experience (pandas, modelling, automation).
Mindset:
You think in systems, not just dashboards.
You care about data integrity and financial correctness.
You enjoy working directly with business stakeholders.
You can move between technical implementation and executive discussion.
Additional Information:
This role is hybrid and in office 3 days per week (Tues-Thurs in our London office)
Looking for someone to start in Q2 (we know people will have notice periods and we can be flexible to accommodate)
Capi is an equal opportunity employer and welcomes candidates from diverse backgrounds. We’re all about building a diverse, inclusive team at Capi. Whoever you are, we’d love to hear from you. If there’s anything you need to make the interview process easier—whether it’s accessibility support, a different format, or just a heads-up about what to expect—just let us know, we’re happy to help.
We've won some cool awards recently too! Check them out: