Product Analytics Manager - Liquidity (Investments)

Wise; Greater London; On-site; GBP 75,000 - 100,000; Full time

Job summary

An innovative financial technology company in Greater London seeks a Product Analytics Manager specializing in liquidity management. The role involves optimizing liquidity across various products, developing financial risk strategies, and utilizing expert SQL and Python skills. The candidate will influence business decisions through data analysis and communication, contributing to the company's mission of providing accessible financial services globally. Join a diverse team in creating a borderless money movement.

Qualifications

• Expert-level SQL skills required for managing data.
• Comfortable with building and maintaining data pipelines.
• Strong proficiency in Python for advanced data tasks.

Responsibilities

• Manage liquidity across multiple product portfolios.
• Optimize trade-offs between liquidity usage, cost, and risk.
• Develop financial risk strategies to preemptively address issues.

Skills

SQL skills

Data storytelling

Python for automation

Risk assessment

Commercial fluency

Tools

dbt

Airflow

Snowflake

Job description

Product Analytics Manager - Liquidity (Investments)

• Full-time
• Compensation: GBP 75,000 - GBP 100,000 - yearly

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.

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

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.

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.

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".

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 visitWise.Jobs .