# Lead Data Scientist - Liquidity at Wise

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> Responsibilities: - Lead design, implementation and refineme

- **Company:** Wise (https://jobs.trythestack.co/companies/wise)
- **Location:** London, United Kingdom
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, Liquidity management, Data analysis, Forecasting, Machine learning, Statistics, Linear algebra, Optimisation, Hadoop, Spark, AWS, GCP, Azure, Data warehousing, Risk modelling, Stakeholder management
- **Posted by employer:** 2026-08-06
- **Added to The Stack:** 2026-08-07
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://jobs.smartrecruiters.com/Wise/744000141954691-lead-data-scientist-liquidity (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/lead-data-scientist-liquidity-wise

## 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.

## FAQ

- **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.

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## Notes for agents

- Apply on the employer's page (https://jobs.smartrecruiters.com/Wise/744000141954691-lead-data-scientist-liquidity). The Stack does not take applications.
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