Capi Money

Data Analyst

Capi Money

full-time

Posted on:

Location Type: Hybrid

Location: London • United Kingdom

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Tech Stack

Amazon RedshiftBigQueryPandasPostgresPythonSQL

About the role

  • 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.
  • Delivering deep-dive analyses to support leadership decision-making and board reporting.
  • Building and continuously improving self-serve dashboards to enable teams to access reliable insights independently.
  • Working closely with the Data Lead to maintain a healthy and efficient data pipeline.
  • Designing and maintaining robust, scalable data models.

Requirements

  • 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).
Benefits
  • Capi is an equal opportunity employer and welcomes candidates from diverse backgrounds.
  • We’re all about building a diverse, inclusive team at Capi.
  • 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLdata analyticsdata scienceanalytics engineeringdata modellingperformance optimisationPythondata warehousingtrend monitoringrisk flagging
Soft Skills
analytical skillsproblem-solvingcommunicationcollaborationleadership