FinTech Product Intern - Credit, Data & AI

LoanTube; Greater London; On-site; GBP 11,000 - 16,000; Full time

Job summary

LoanTube in London (Hammersmith) is seeking a highly analytical FINTECH PRODUCT INTERN to help build the next generation of AI-native credit products. You will work with the Founder/CEO across product development, credit data, research and analysis, and new AI-powered customer journeys.

This internship is not a generalist role; you should demonstrate concrete product and credit experience, with hands-on ownership of ambiguous problems, and aspire to move into a full-time Product role after six

Qualifications

• Product experience in building or improving a product and defining requirements.
• Credit / financial services exposure to lending, credit risk, Open Banking.

Responsibilities

• Assist in product development and defining requirements.
• Analyze credit data and Open Banking signals to inform decisions.
• Contribute to product documentation and AI-powered customer journeys.
• Work directly with Founder/CEO on research and experiments.

Skills

Product experience

Credit / financial services experience

Data analysis

Tools

SQL

Python

Job description

FINTECH PRODUCT INTERN - CREDIT, DATA & AI

LoanTube is looking for a sharp, highly analytical intern to help build the next generation of AI-native credit products.

We’ve built the UK’s leading AI-powered credit distribution platform, processing 10,000+ applications every day across consumer and business lending, in partnership with 50+ lenders and powered by credit bureau data, Open Banking and live lender appetite.

We’re now pushing this further. LoanTube recently launched a fully conversational WhatsApp credit journey, allowing customers to apply for loans entirely through conversation. Alongside our ChatGPT integration, it’s a glimpse of what the future of credit distribution looks like.

You’ll work directly with LoanTube’s Founder/CEO across product development, credit data, research and analysis, product documentation and new AI-powered customer journeys.

This is not a generalist internship. We are specifically looking for candidates who already have demonstrable practical experience to both Product and credit / financial services.

That experience can come from internships, previous employment, startups, university projects or products you have built yourself, but you should be able to demonstrate:

• Product experience - some practical experience of building or improving a product, defining requirements, analysing user behaviour, working with technical teams, running experiments or taking an idea from problem through to implementation.
• Credit / financial services experience - prior exposure to lending, credit risk, consumer or SME finance, Open Banking, or a closely related area of banking or payments.
• Data and analytical ability - confidence working with data to understand problems, identify opportunities and make decisions. Experience with SQL, Python or analytical tools is highly desirable.

Beyond that, we’re looking for someone who is highly analytical, detail-obsessed, entrepreneurial and genuinely interested in building. You should be comfortable taking ownership of ambiguous problems rather than waiting to be told exactly what to do.

This role is particularly suited to a graduating student, recent graduate or early-career candidate who already has relevant experience and now wants genuine hands‑on responsibility building financial products at the intersection of credit, data and AI.

The internship is intended as a route into our Product team. For an exceptional candidate who performs strongly, our objective would be to progress them into a full-time Product role after the six-month internship.

Location:

Hammersmith, London - five days a week in-office

Type:

Full-time internship

Term:

6 months

Start:

ASAP

Applicants must have the right to work full-time in the UK for the duration of the internship.