Product Owner

Dubizzle Limited; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading data analytics firm in Greater London is seeking a Senior Product Owner to lead the evolution of its data and analytics platform. The role involves managing the product backlog, collaborating with various teams to translate client needs into clear requirements, and defining success metrics. Ideal candidates will have proven experience in fintech or data-driven platforms and a strong understanding of Agile methodologies. The position supports a hybrid work model and promotes a collaborative culture.

Benefits

Inclusive culture

Regular team lunches

Out-of-hours social activities

Qualifications

• Proven experience as a Senior Product Owner, ideally in fintech, market data, or data-driven platforms.
• Experience working with SaaS, platform or data product.
• Ability to communicate clearly with both technical and non-technical stakeholders.

Responsibilities

• Own and manage the product backlog, including prioritization.
• Translate complex client requirements into clear product requirements.
• Define and track product success metrics and outcomes.

Skills

Experience in fintech

Agile / Scrum methodologies

Strong analytical mindset

Communication with stakeholders

Tools

Snowflake

Job description

About BMLL

BMLL is the leading independent provider of harmonized Level 3, 2 and 1 historical data and analytics across global equities, ETFs, futures and US equity options. We provide market participants with immediate access to granular T+1 order book data and advanced analytics, enabling them to accelerate research, optimize trading strategies, and better understand market behaviour.

BMLL was acquired in 2025 by Nordic Capital, alongside minority shareholder Optiver, marking a joint commitment to accelerate the company's next phase of growth.

We offer an inclusiveใหญ่ collaborative culture, a hybrid working environment that includes regular days in our London office, weekly team lunches, and a variety of out-of-hours social activities.

For more information, visit our website or follow us on X (@bmlltech) and LinkedIn @BMLL.

Position Summary

We are seeking a Senior Product Owner to play a critical role in the evolution of BMLL’s data and analytics platform. This role blends product ownership, strategic prioritization, and deep analytical rigor, and is ideal for someone who is equally comfortable defining what should be built and diving into how it must workographique.

You will sit at the intersection of engineering, financial data, and commercial teams, translating customer and business needs into clear, actionable product requirements. You will own the backlog for BMLL’s Data Lab and Vantage products, ensuring that development efforts are aligned with BMLL’s strategic goals and deliver maximum value to customers.

Responsibilities

• Own and manage the product backlog, including prioritization working with stakeholders, refinement, and acceptance of user stories
• Act as a domain expert for your product area, deeply understanding APIs, application workflows andעמבער use cases
• Translate complex client requirements into clear, technically precise product requirements, epics and user stories
• Partner closely with engineering and data teams on clarifying requirements; architecture decisions, technical trade-offs, edge cases, dependencies and delivery planning.
• Collaborate with commercial, customer success, and quant teams to understand client needs and market trends
• Define and track product success metrics and outcomes
• Support product discovery activities, including customer feedback, competitive analysis, and roadmap planning
• Ensure delivered features meet quality, performance, and usability standards expected by our institutional clients

• Proven experience as a Senior Product Owner, ideally in fintech, market data, or data-driven platforms
• Experience working with SaaS, platform or data product
• Strong understanding of Agile / Scrum methodologies
• Ability to communicate clearly with both technical and non-technical stakeholders
• Strong analytical mindset with attention to detail with exposure to modern data science platforms and tools (e.g. Snowflake,