Lead Data Scientist - Liquidity at Wise

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• 🏢 Wise has 47 jobs here, 45 with visa sponsorship see all
• 🛂 Skilled Worker visa. Standard minimum salary: £41,700 a year guide
• 💡 No salary shown. Ask Wise if it is above the minimum.

Updated 2026-11-03, from our data and official sources.

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About the role

Responsibilities:
- Lead design, implementation and refinement of forecasting models for liquidity supply and demand across products and regions.
- Integrate forecasts into real-time money movement processes and the treasury operational backoffice for automated decisioning.
- Build bespoke stress-test and scenario analyses for events, product launches and operational incidents.
- Develop product-level liquidity consumption models and tooling to measure usage, drivers and tail risks.
- Present model results, risk assessments and recommendations to senior stakeholders, controllers and Risk (2nd line).
- Collaborate with engineers to productionise models, ensuring scalability, reproducibility and monitoring.

Requirements:
- Strong Python skills and ability to read and validate code; experience shipping models into production.
- Significant hands-on experience with big-data tooling (Hadoop, Spark or equivalents) and cloud data platforms (AWS/GCP/Azure).
- Solid background in statistics, forecasting, machine learning, optimisation or linear algebra applied to financial problems.
- Experience working closely with engineering, product and operations teams and communicating complex concepts clearly.
- Familiarity with liquidity or treasury processes, risk frameworks and stakeholder-facing reporting is desirable.

Responsibilities

You will design and implement models to forecast and manage liquidity while ensuring operational efficiency across a multi-region product portfolio. Additionally, you will collaborate with cross-functional teams to translate complex liquidity risk scenarios into actionable insights for senior stakeholders.

Requirements

The role requires strong Python programming skills and demonstrable experience with big data technologies and cloud platforms. Candidates should possess a solid background in statistics, machine learning, or optimization, along with the ability to communicate complex concepts to non-technical stakeholders.

Key skills

• Python — in 1173 other listings on The Stack
• Liquidity management — in 4 other listings on The Stack
• Data analysis — in 270 other listings on The Stack
• Forecasting — in 20 other listings on The Stack
• Machine learning — in 285 other listings on The Stack
• Statistics — in 51 other listings on The Stack
• Linear algebra — in 3 other listings on The Stack
• Optimisation — not in any other listing on The Stack
• Hadoop
• Spark
• AWS
• GCP
• Azure
• Data warehousing
• Risk modelling
• Stakeholder management

On The Stack (as of 2026-11-03)

• Wise has 46 other listings on The Stack, 44 of them marked as offering visa sponsorship.
• 209 visa-sponsored jobs in the United Kingdom on The Stack, posted in the last 60 days.
• 65 visa-sponsored data scientist jobs in Europe on The Stack, posted in the last 60 days.

Frequently asked questions about Wise

Is this Lead Data Scientist - Liquidity role still open?

It was posted on 2026-08-06. Listings more than 30 days old may no longer be active, so check Wise's site before applying.

Does Wise offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Wise's site.

Where is this role located?

The listing gives the location as London, United Kingdom. It is marked on-site.

What skills does this role ask for?

The listing names: Python, Liquidity management, Data analysis, Forecasting, Machine learning, Statistics, Linear algebra, Optimisation, Hadoop, Spark, AWS, GCP, Azure, Data warehousing, Risk modelling, Stakeholder management.