At a Glance
- Tasks: Lead product development for AI-driven screening tools and enhance user experience.
- Company: Join a forward-thinking company at the forefront of AI innovation.
- Benefits: Flexible working hours, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on trust, transparency, and career advancement.
- Why this job: Shape the future of client screening with cutting-edge technology and impactful solutions.
- Qualifications: 7+ years in product management with strong data knowledge and AI experience.
The predicted salary is between 72000 - 88000 Β£ per year.
- AI is reshaping what clients expect from
- Company
Screening: faster discovery, more flexible criteria, explainable results, and clearer next steps for analysis.
You will decompose the full screening lifecycle, from helping clients understand which datasets they can screen on, to defining flexible tools for creating and refining screening criteria, to improving how users interact with results, track changes over time, and move into deeper analysis.
You will partner closely with Engineering and Data teams to determine how data should be modeled, cached, queried, and delivered so that large-scale screening workflows remain performant and reliable.
The role will also help define migration paths from legacy screening applications to modern, AI-enabled workflows, ensuring clients retain trust, transparency, and continuity.
Own the product roadmap, balancing client needs, commercial priorities, technical feasibility, and migration requirements.
Partner closely with Engineering, Data, and Product teams to deliver scalable screening capabilities aligned with infrastructure and migration initiatives.
Ensure screening criteria, results, analytics, and workflows are delivered consistently across user interfaces, APIs, data products, and AI-enabled experiences.
Define success metrics and measure impact through adoption, client engagement, data usage, workflow completion, and commercial outcomes.
You'll need to have:7+ years of product management or equivalent experience in Company Analysis.
Strong knowledge of company data, including company financial, firmographic, and related datasets.
Familiarity with private company data and the challenges of coverage, comparability, quality, and discoverability.
Familiarity with Funds, Indices, or other adjacent financial datasets.
Experience working with data systems, APIs, data modeling, analytics platforms, or large-scale query workflows.
Ability to operate across technical and business domains, partnering effectively with Engineering, Data, Sales, and Product stakeholders.
Experience with AI-enabled workflows, natural-language interfaces, data discovery, or decision-support tools. CFA or similar designation.
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Product Manager - Flexible Working in London employer: Bloomberg
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