Product Analyst driving business enablement via digital portfolio analysis solutions for investment professionals. Join a cross - functional team to bridge product innovation and client needs.
About the role
- Product Analyst at a fintech startup managing product launches and operational support. Collaborating with teams to ensure launch readiness and performance analysis.
Responsibilities
- Work closely with Operations teams (customer support, collections, complaints) to ensure new products, features or customer journeys are fully supported at launch
- Help define and document operational processes, edge cases, and failure scenarios
- Ensure tooling, data visibility, and workflows allow teams to support customers effectively from day one
- Act as a key point of contact during launches and early post-launch periods, helping triage and resolve live issues
- Support BAU product operations by investigating customer and partner issues, identifying root causes, and working with engineering and product to fix them
- Analyse operational data to identify recurring problems and improvement opportunities
- Help ensure issues are properly closed out, not just discussed
- Support Product Managers with discovery, delivery coordination, and partner onboarding
- Help with testing, release validation, and regression checks
- Learn how APIs, decisioning flows, and data pipelines work in practice
- Analyse product performance across conversion, approval rates, origination volumes, and credit outcomes
- Build dashboards and ad-hoc analyses to support decision-making across Product and Operations
- Form clear hypotheses from data and help test improvements
Requirements
- A top-tier STEM or Economics graduate (computer science, engineering, mathematics, physics, economics, or similar)
- 0–2 years of experience, including internships, placements, or early-career roles with real responsibility
- Practical experience beyond academia, e.g. internships, startups, consulting projects, fintech, data, or operational roles
- Strong analytical skills and comfort working with data (SQL, Python, Excel, or similar)
- Structured problem-solver who can break down messy, real-world problems
- Technically curious and comfortable working with systems, even if you’re not an engineer
- Clear communicator who can work effectively with both technical and non-technical teams
Benefits
- Everyone owns a piece of the company - equity
- Hybrid with 3 days a week in the office
- 25 days’ holiday a year, plus 8 bank holidays
- 2 paid volunteering days per year
- One month paid sabbatical after 4 years
- Employee loan
- Free gym membership
- Team wellness budget to be active together - set up a yoga class, a tennis lesson or go bouldering
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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