Method Resourcing
Product Support Analyst
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Product Support Analyst
Method Resourcing are excited to partner with a fast-growing and very well-backed FinTech start-up HQed in London looking to hire a Product Support Analyst as they continue to scale under their newly appointed Head of Product.
As a Product Support Specialist, you’ll partner with Product, Data Strats and Technology teams to keep a complex data service performing at a high standard. You’ll work directly with investment banks and buy-side firms to support onboarding, explain data methodologies, and help clients get the most from their datasets.
This is an ideal role for a candidate to join a rapidly growing and highly innovative FinTech - with the opportunity to get exposure to huge buy & sell-side clients, learn from some of the brightest minds in the derivatives sector, and expand their knowledge both technically and from a financial instrument perspective.
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Responsibilities:
- Serve as a primary contact for data-related discussions with investment bank and buy-side clients
- Handle client and contributor queries by email, phone and video call, owning each from first contact to resolution and escalating when needed
- Support client onboarding and ongoing engagement to drive understanding and adoption of our data products
- Explain data methodologies, aggregation logic, anonymisation approaches and product coverage clearly and credibly
- Test new features and releases, log defects, and give practical feedback on usability and design
- Capture client feedback and recurring issues, identify patterns, and turn them into improvement proposals for the product team
- Keep Tech, Data Strats and Commercial colleagues updated on open issues and project progress
About you:
- Degree in a quantitative discipline (e.g. mathematics, finance, economics, engineering)
- Working knowledge of a broad range of derivatives, with a genuine appetite to learn across Rates, FX, Credit, Equity and Commodities
- Highly motivated, able to juggle multiple priorities in a fast-paced environment without compromising on quality
- Able to explain complex data concepts clearly to both technical and non-technical audiences
- Customer-first mindset with strong client-facing skills, and the ability to build trust and credibility with senior stakeholders
- Proactive about improving existing workflows, with strong attention to detail and a knack for recommending simpler, more efficient ways of working
- No coding required, but highly data-literate and comfortable working with technical teams
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