Product Analytics Manager - Liquidity (Investments)

🔒 Confidential Employer
Posted 21 April 2026
LOCATION
London
TYPE
Full-time
LEVEL
Mid-Senior level
SALARY
£100,000 / year
CATEGORY
Finance
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

SQL dbt Airflow Snowflake Python Bayesian statistics Causal inference Liquidity Management

FULL DESCRIPTION

Product Analytics Manager - Liquidity (Investments)

[Employer hidden — view at passion-project.co.uk] is a global technology company, building the best way to move and manage the world’s money.

You’ll be joining the Grow Squad. We manage a complex, multi-product portfolio including Current Accounts, Savings, Investments, and Digital Assets. Your mission is to ensure we serve them safely, sustainably, and profitably.

Job Description

You’ll be joining the Grow Squad. We manage a complex, multi-product portfolio including Current Accounts, Savings, Investments, and Digital Assets.

Focus Area: While other teams focus on acquiring customers, your mission is to ensure we serve them safely, sustainably, and profitably.

What You Will Do

  • Own Liquidity Management (Hands-on)
  • Liquidity Management: You will build and own the models that manage assets liquidity across our multi-product portfolio (Assets, Savings, Investments). You ensure we always have the right funds in the right places to support customer activity.
  • Stress Testing: You will model extreme market scenarios to ensure resilience.
  • Optimise Tradeoffs: You will build a framework that helps us to make decisions to optimise between liquidity usage, risk and cost.
  • Strategy & Governance
  • Risk Strategy: You will define the "Financial Risk Strategy" for the Grow squad, moving us from reactive "fire-fighting" to proactive risk monitoring.
  • Stakeholder Partnership: You will be the primary data partner for [Employer hidden]’s Treasury, Risk, and Finance leadership, giving them the confidence that the Grow squad is operating within safe limits.

Qualifications

You are a strategic data leader who bridges the gap between technical analytics and business risk. You don’t just report on what happened; you influence what happens next.

Technical Mastery: You bring expert-level SQL skills and are fully comfortable building and maintaining your own robust data pipelines using dbt, Airflow, and Snowflake. Beyond querying, you use Python for advanced automation and forecasting, and you apply statistical rigor (e.g., Bayesian statistics, causal inference) to solve complex product problems.

Commercial & Risk Mindset: You possess deep commercial fluency, understanding the unit economics of a fintech product (LTV, CAC, Margin). You know how to balance aggressive growth targets with necessary risk controls, ensuring we scale safely.

Thriving in Ambiguity: You are comfortable navigating ambiguity to find the right path forward and gaining clarity.

Strategic Impact: You can point to specific decisions where your influence changed a product roadmap, pricing model, or operational process.

Communication: You are a storyteller with data. You move beyond dumping numbers to provide context, explain the "why," and drive leadership to the "so what".

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