Lead Product Analyst
London / £90000 - £100000 annum
INFO
£90000 - £100000
LOCATION
London
Permanent
Lead Product Analyst
London - hybrid 3x a week
Up to £100,000 + equity
This is a high impact Lead Product Analyst role where you will shape how data drives product and customer experiences within a fast-paced, product-led technology business. With a strong focus on personalisation and experimentation, this role offers the chance to influence core commercial outcomes while working on a rapidly scaling international portfolio.
The Company
They are a well-established, data driven fintech operating a multi-product consumer app across lending and financial services. Known for their strong analytical culture, they have been profitable for several years and continue to grow at pace, including significant expansion into the US market. Data sits at the centre of decision making, with analytics embedded closely alongside product, engineering and growth teams.
The Role
You will operate as a senior individual contributor within the product analytics function, owning insight across key customer journeys and driving measurable impact.
- Lead product analytics for a consumer app, focusing on personalisation and customer relevance
- Use data to determine the right product, message or experience to show each user at the right time
- Partner closely with product managers, engineers and data scientists in a cross functional, pod based environment
- Drive experimentation through robust AB testing and funnel analysis to improve conversion and engagement
- Support recommendation systems and propensity models to predict customer behaviour and purchase likelihood
- Analyse customer journeys, drop offs and lifecycle behaviour to optimise in app and push notification experiences
- Translate complex analysis into clear commercial recommendations for senior stakeholders
- Strong experience in product or growth analytics within consumer facing digital products
- Advanced SQL and strong Python skills, with Python central to day to day analysis
- Proven experience with experimentation, AB testing and causal analysis
- Exposure to propensity modelling or recommendation based use cases
- A commercial mindset with the ability to link analysis to business outcomes
- Experience working closely with product and engineering teams in agile environments
- Familiarity with complex, multi step customer journeys, ideally within apps or large scale consumer platforms
- Salary up to £100,000
- Equity participation
- Hybrid working with three days per week in the London office
- A highly visible role with real ownership and influence over product direction
- Strong opportunities for growth within a scaling analytics function
Apply now to learn more about this Lead Product Analyst opportunity and how it could fit your next career move.
CONTACT
Izabella Hage
Senior Recruitment Consultant
SIMILAR
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Research Engineer
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Title: Research Engineer, Data
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We’re partnered with a well-funded AI research company focused on building next-generation multimodal models for media and interactive experiences. Their work spans cutting-edge generative systems and is increasingly moving toward real-time, interactive environments, pushing beyond static outputs into dynamic, AI-driven applications.
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To Apply for this Job Click Here
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To Apply for this Job Click Here
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To Apply for this Job Click Here
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Location: USA Remote
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We’re partnered with a well-funded AI research company focused on building next-generation multimodal models for media and interactive experiences. Their work spans cutting-edge generative systems and is increasingly moving toward real-time, interactive environments, pushing beyond static outputs into dynamic, AI-driven applications.
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To Apply for this Job Click Here
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To Apply for this Job Click Here
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- Build and scale RAG systems, reranking pipelines, and vector-based search infrastructure
- Define evaluation frameworks to measure retrieval quality, reasoning accuracy, and system performance
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- Partner closely with product, platform, and domain teams to translate complex requirements into scalable systems
- Lead best practices for building reliable, observable, and cost-efficient AI systems
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- Proven experience owning and deploying production LLM systems
- Strong background in RAG, embeddings, reranking, and vector databases (e.g., Pinecone, FAISS, Chroma)
- Experience designing evaluation systems and improving models through quantitative analysis
- Strong Python skills, with solid software engineering fundamentals
- Experience making architectural decisions that influence team or org direction
- Strong understanding of production systems, including reliability, observability, and cost tradeoffs
- Ability to break down ambiguous problems and operate with a high degree of ownership
- Clear communication skills and experience working cross-functionally
Nice to Have
- Experience in regulated domains such as compliance or security
- Familiarity with data platforms or analytics tooling
- Experience with orchestration frameworks (e.g., Temporal, Airflow)
- Exposure to LLM evaluation platforms or tooling
- Contributions to open source, research, or technical communities
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