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Data Analyst - Capital Markets

Motive Group

England

On-site

GBP 40,000 - 60,000

Full time

Today
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Job summary

A leading fintech company in the United Kingdom is seeking an experienced Data Analyst for its Finance / Capital Markets team. In this role, you will automate monitoring processes, build dashboards in Tableau, and support capital allocation decisions. The ideal candidate has over 3 years of analytics experience, strong skills in SQL and Python, and a solid background in Mathematics or Engineering. Join us to shape financing strategies for significant investments.

Qualifications

  • 3+ years’ experience in data analytics, preferably in Fintech/Finance.
  • Strong academic background in relevant fields like Maths or Statistics.
  • Hands-on experience with SQL and Python for data manipulation and visualization.

Responsibilities

  • Build dashboards in Tableau to monitor portfolio performance and risk.
  • Identify trends and present insights to senior executives.
  • Design data tables to enable automation and reporting.
  • Assess the performance of capital mandates.
  • Develop financial and cashflow models for capital allocation.

Skills

Data analytics
SQL
Python
Tableau
Communication

Education

Degree in Maths, Engineering, Statistics, or Computational Finance

Tools

Tableau
SQL
Python
dbt
Job description

Data Analyst - Capital Markets

Motive Group are supporting one of the fastest-growing fintechs globally, powering embedded finance for leading platforms.

They are expanding the Finance / Capital Markets team and looking for an exceptional Data Analyst.

Why this role matters:

You’ll turn raw portfolio and mandate data into clear, actionable insights for senior leaders, automate critical monitoring, and build the models that guide capital allocation - directly shaping how they deploy hundreds of millions in financing.

What you’ll do:
  • Automate & scale monitoring: Build dashboards in Tableau to track portfolio performance and risk in real time.
  • Find & tell the story: Identify trends, run deep‑dive analyses, and present insights to senior executives.
  • Build reliable data foundations: Design tables with data engineering to enable robust automation and reporting.
  • Own mandate performance: Assess and manage the performance of underlying capital mandates.
  • Model cashflows: Develop financial and cashflow models that inform capital allocation and portfolio decisions.
What you’ll bring:
  • 3+ years’ experience in data analytics (Fintech/Finance a plus).
  • Strong academic grounding (e.g. Maths, Engineering, Statistics, Computational Finance or similar).
  • Hands‑on with SQL and Python (you’re comfortable going from query → model → visualisation).
  • Experience with Tableau (or similar BI tools).
  • dbt experience is a plus (not a must).
  • Clear, confident communicator—able to tailor insights for technical and non-technical stakeholders.
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