Credit Analyst Intern

Lendable

. Generate key insights from data using analytical and problem-solving skills .

Posted 10/9/2026internshipLondon • United KingdomEntry Level💰 £48,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong analytical and problem-solving capabilities, utilizing Python or SQL to generate insights from complex data sets. Effectively communicates findings to senior leaders and collaborates with product and technology teams to implement data-driven strategies.

Highest-signal resume keywords

Python CodingSQL CodingData AnalysisNumerical AbilityHypothesis Testing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisHypothesis TestingPredictive ModellingStatistical AnalysisNPV Modelling

Soft Skills

Analytical ThinkingCuriosityProblem-SolvingCommunicationEntrepreneurial Mindset

Industry Keywords

Lending StrategyFraud DetectionEconomic ChangesCompetitive AnalysisData Insights

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Generate key insights from data using analytical and problem-solving skills
Use data and modelling to ground assumptions for the NPV model, including predicting future default rates
Use data and analytics to decide who to lend to and how much to lend, accounting for economic and competitive changes
Conduct hypothesis testing to improve lending strategy, pricing, and fraud detection
Present findings to senior leaders
Work with product and technology teams to implement findings

Requirements

What you’ll need

Must have coding skills in Python or SQL
Ability to work with complex data sets, analyse them, and draw insights
Strong numerical and analytical ability
Natural curiosity and willingness to investigate how things work
Startup mindset and enthusiasm for an entrepreneurial environment
Must work in the office three days per week
Right to work in the UK
Available for the whole internship period from 29th June to 7th September 2027
Will be graduating in 2028
Confidence coding in Python or SQL
University education and degree information required in the application

Benefits

Comp & perks

Private health cover
Retirement savings plans
Employee referral programme with a competitive bonus
Fully stocked kitchen and complimentary lunches prepared by in-house chefs on in-office days at select locations
Cycle-to-work and electric vehicle salary sacrifice schemes available in select locations
Flexible working approach tailored to the role
Socials and opportunities for in-person connection through events and off-sites