About the Role
This is an opportunity to shape approval strategy in a fast-growing fintech environment, working closely with senior leaders to improve credit decisioning, customer conversion, and overall portfolio performance. You will join a data-first organisation where analytical thinking directly influences commercial outcomes.
The Company
They are a London-based fintech offering innovative consumer and business products, built on a modern lending and subscription-style model. The company operates with strong backing, a proven path to profitability, and a growing international footprint. Data, experimentation, and strategic analytics form the basis of how they make decisions, and they are scaling their Strategy and Analytics team with high-calibre talent.
The Role
You will:
* Lead strategic initiatives focused on improving approval rates and credit decision quality across multiple product lines.
* Use strong SQL capability to interrogate complex datasets and identify drivers of risk, conversion, and performance.
* Build scalable frameworks for tracking and monitoring approval strategies.
* Partner with growth, marketing, product, and risk teams to balance commercial objectives with customer outcomes.
* Test and iterate on approval and underwriting strategies in response to market conditions.
* Present data-driven recommendations to senior stakeholders and influence key decisions across the business.
Your Skills and Experience
You will bring:
* Strong commercial experience in lending, credit risk, approvals, underwriting strategy, or similar data-led environments.
* Advanced SQL skills, including experience working directly with complex, multi-source data.
* Proven ability to use data insights to drive measurable strategy changes.
* Experience collaborating across teams and communicating with non-technical stakeholders.
* A strong quantitative or STEM background.
* Python is beneficial but not essential.