Data Analytics Intern – Fintech (Remote/Flexible)

Lendable Ltd

Greater London

Hybrid

GBP 45.000 - 55.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Hybrid work
Health coverage
Retirement savings
Meals & snacks
Referral bonus
Cycle-to-work

Zusammenfassung

Lendable Ltd is offering a 10-week internship in London for students who love numbers and problem-solving. You will analyze data to uncover insights and help shape lending strategies in a fast-growing fintech environment. Candidates should be penultimate-year university students with Python or SQL skills.

The role involves data modelling, hypothesis testing, and presenting findings to senior leaders; hybrid work options apply with an emphasis on impact and learning in a start-up setting.

Qualifikationen

  • Must be a university student in their penultimate year (undergraduate, Master’s or PhD) with coding skills in Python or SQL.
  • Strong numerical ability and comfort with large data sets to generate insights.
  • Curiosity and analytical mindset; capable of digging into data to understand how things work.
  • Startup mindset with eagerness to make an impact in a fast-growth fintech environment.

Aufgaben

  • Generate key insights from data to inform strategy.
  • Build and validate models for forecasting defaults and lending decisions.
  • Use data analytics to guide lending scope and risk in response to market changes.
  • Perform hypothesis testing to influence lending strategy, pricing and fraud detection.
  • Present findings to senior leaders and partner with product/tech to implement changes.

Kenntnisse

Python
SQL

Ausbildung

University student (penultimate year)

Jobbeschreibung

Lendable Ltd is offering a 10-week internship in London for students who love numbers and problem-solving. You will analyze data to uncover insights and help shape lending strategies in a fast-growing fintech environment. Candidates should be penultimate-year university students with Python or SQL skills.

The role involves data modelling, hypothesis testing, and presenting findings to senior leaders; hybrid work options apply with an emphasis on impact and learning in a start-up setting.

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