Credit Analyst Intern: Data-Driven Fintech Impact

Lendable Ltd; United States; Hybrid; USD 54,000 - 73,000; Full time

Benefits offered by this job

Health coverage

Retirement & savings

Flexible work arrangements

Office meals & snacks

Hybrid roles

Job summary

Lendable is seeking a Credit Analyst internship for early-career professionals. This 12-week program starts 5 January 2027 with a salary of £48,000 per annum equivalent for the period, reflecting a fast-growth fintech environment.

You’ll join a startup mindset team to test-drive credit roles before committing to a change and have a concrete impact on our lending processes. You’ll work with numbers daily, perform data-driven analyses, and present insights to senior leaders to influence strategy.

Qualifications

• Strong ability to work with large data sets and derive insights.
• Proficient in Python or SQL coding.
• Analytical mindset with problem-solving skills.

Responsibilities

• Use your analytical and problem-solving skills to generate key insights from data, and use that insight to drive meaningful change in our strategy.
• Using data and modelling to ground assumptions for our NPV model, such as predicting default rates for the future and inform lending decisions.
• Using data and analytics to drive decisions about who we should lend to, and how much to lend to them, and how this changes with economy/competition.
• Conducting hypothesis testing, and using findings to adjust lending strategy, pricing, and fraud detection.
• Presenting findings to senior leaders and collaborating with product/tech to implement changes.

Skills

Python

SQL

Job description

Lendable is seeking a Credit Analyst internship for early-career professionals. This 12-week program starts 5 January 2027 with a salary of £48,000 per annum equivalent for the period, reflecting a fast-growth fintech environment.

You’ll join a startup mindset team to test-drive credit roles before committing to a change and have a concrete impact on our lending processes. You’ll work with numbers daily, perform data-driven analyses, and present insights to senior leaders to influence strategy.