Product Analytics Manager - Liquidity (Investments)

Product Analytics Manager - Liquidity (Investments)

Wise

Employment: full time

London

Company Description

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.

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

• 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.
• 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.

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".

Additional Information

For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

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.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs .

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

Sector: Fintech | Subsector: Marketplace, Fintech, Forex, Sharing Economy | Function: Product, Data Science

Amsterdam, Netherlands, Ireland, Dublin, Ireland, Netherlands

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