Product Analytics Manager - Liquidity (Investments)

About the Position

Product Analytics Manager - Liquidity (Investments)

London, United Kingdom

Wise is a global technology company, building the best way to move and manage the world’s money.

Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money.

For everyone, everywhere.

More about our mission and what we offer.

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.

Responsibilities

1. 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.

2. 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 Wise’s Treasury, Risk, and Finance leadership, giving them the confidence that the Grow squad is operating within safe limits.

Requirements

• Technical Mastery: Expert-level SQL skills and experience building and maintaining robust data pipelines using dbt, Airflow, and Snowflake. Advanced automation and forecasting using Python, and application of statistical rigor (e.g., Bayesian statistics, causal inference) to solve complex product problems.
• Commercial & Risk Mindset: Deep commercial fluency, understanding the unit economics of a fintech product (LTV, CAC, Margin). Ability to balance aggressive growth targets with necessary risk controls, ensuring safe scaling.
• Thriving in Ambiguity: Comfortable navigating ambiguity to find the right path forward and gaining clarity.
• Strategic Impact: Proven track record of influencing product roadmaps, pricing models, or operational processes.
• Communication: Strong storytelling skills with data. Ability to provide context, explain the "why," and drive leadership to the "so what".

We Offer

• Inclusive Environment: We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable, and inclusive.
• Celebrating Differences: We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission, and able to progress in their careers.

About the Company

Wise is a global technology company, building the best way to move and manage the world’s money.

Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

For more information about working at Wise, visit Wise.Jobs.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.