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Analytics Lead at Model ML

We are looking for an Analytics Lead to report directly to the CEO and consolidate fifty dashboards into a single source of truth that drives the entire company. If you are a hands-on expert in SQL and dbt who thrives in a high-intensity, 9-to-9 environment, join us in London to build this critical function from the ground up and shape our future.

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Model ML

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Location

London, United Kingdom

Compensation

Not Disclosed

Company

Model ML

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Role overview

Reporting to the CEO, you will transform Model ML’s analytics from fifty fragmented dashboards into a single, canonical metric layer. This role requires technical depth in SQL and dbt combined with the business intuition to define core metrics for a scaling AI fintech, ensuring leadership runs on one source of truth.

AI75-100 employeesLondon, United KingdomSeries A (VC-backed)

Model ML offers an AI-powered workspace built specifically for the financial services industry, including private equity firms, investment banks, and corporate development teams. The platform automates complex and repetitive financial research tasks such as analyzing deal documents, extracting comparable transaction data, market mapping, commercial due diligence, and generating tailored insights. By integrating with sources like PitchBook and Crunchbase, and leveraging advanced AI for data extraction and analysis, Model ML enables finance professionals to conduct faster and more precise due diligence, benchmarking, and market intelligence. The platform emphasizes auditability and compliance, allowing users to control data provenance and source selection. Founded in 2023, Model ML operates from San Francisco and London, serving clients across the financial sector.

Backed by FT Partners, Y Combinator, QED Investors, 13Books Capital, Latitude, LocalGlobe.

What you will do

  • Consolidate a sprawling estate of 50+ dashboards into a defended core set of metrics that the entire company runs on daily.
  • Embed self-serve analytics across non-technical functions, ensuring commercial and product teams can answer their own questions without relying on engineering.
  • Maintain the semantic layer and core metric definitions, bridging the gap between raw warehouse data and high-level business strategy.

Who this is a fit for

  • Deeply hands-on with SQL, dbt, and modern BI tools, with a track record of building production-grade data models and semantic layers.
  • Proven experience navigating reporting sprawl at scale, ideally having consolidated complex data estates within high-growth or fintech environments.
  • Thrives in a high-intensity “9 to 9” office culture and possesses the commercial acumen to translate business needs into technical specifications.

Why this role is remarkable

  • Report directly to the CEO at a $75M post-Series A startup backed by Y Combinator, with founders who have exited two prior companies.
  • Take full ownership of the company’s metric strategy, presenting and defending core data definitions directly to leadership and potential future investors.
  • Build your own team of one to two analysts within the first year as the company scales from 60 to 150 employees.

How Jack & Jill work together

Jack
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Jill
I recruit from Jack’s network and make the intro when I spot a great match.
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What happens next?

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Jill is the AI recruiter working for the company. She recruits from Jack’s network.

If your profile’s a match and Model ML wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.

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