Time since we first saw it
Day 4
Early. Similar jobs usually come down between day 7 and day 57.
At Wise, jobs usually come down by about day 11.
From 10,558 similar postings that came down, and 338 of Wise’s. Coming down is not always a hire.
Lead Data Scientist - Treasury Liquidity
London, United Kingdom
Live, first seen by us 4 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingAs part of the team, you’ll be at the forefront of designing, implementing, and refining models that forecast and manage liquidity, and influencing decision-making processes across the organisation.
Work closely with Treasury operations to develop supply and demand forecasts and incorporate them into the real-time money movement processes across a multi-region portfolio of products and currencies.
Develop supply and demand forecasts for money movement across multiple currencies and regions
Analyse data to balance enough cash against excess for liquidity efficiency
Work with engineers to put models into the treasury back-office systems
Build models to understand liquidity consumption by product and prepare for stress events
Present model results and risk assessments to senior stakeholders and the Risk team
From the employer’s posting
As part of the team, you’ll be at the forefront of designing, implementing, and refining models that forecast and manage liquidity, and influencing decision-making processes across the organisation. Your mission is to help us have enough cash in the right place at the right time and make sure we keep the liquidity risk under control. You will work closely with cross-functional teams to develop data-driven solutions that enhance our liquidity management and operational efficiency.
Work closely with Treasury operations to develop supply and demand forecasts and incorporate them into the real-time money movement processes across a multi-region portfolio of products and currencies.
develop supply and demand forecasts and incorporate them into the real-time money movement processes across a multi-region portfolio of products and currencies
Conduct rigorous data analysis to support liquidity efficiency initiatives, ensuring a balance between sufficiency and excess
Collaborate with engineering teams to implement models within the treasury's operational backoffice
Develop models and infrastructure for understanding liquidity consumption by company’s products
Document and present model results and risk assessments to senior stakeholders, controllers and the Risk team
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Nov 3, 20264 days ago
- Recorded sightings
- 5
- Last seen by us
- Nov 7, 2026
- Reposted
- once since Oct 27, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Wise is hiring
53 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Scientist hiring is steady
- Takes jobs down quickly
- 36% of open jobs were reposted
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Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Job Description
About the Role:
As part of the team, you’ll be at the forefront of designing, implementing, and refining models that forecast and manage liquidity, and influencing decision-making processes across the organisation. Your mission is to help us have enough cash in the right place at the right time and make sure we keep the liquidity risk under control. You will work closely with cross-functional teams to develop data-driven solutions that enhance our liquidity management and operational efficiency.
Here’s how you’ll be contributing:
Liquidity management
Work closely with Treasury operations to develop supply and demand forecasts and incorporate them into the real-time money movement processes across a multi-region portfolio of products and currencies.
Conduct rigorous data analysis to support liquidity efficiency initiatives, ensuring a balance between sufficiency and excess.
Collaborate with engineering teams to implement models within the treasury's operational backoffice, ensuring scalability and operational efficiency.
Develop bespoke models and analyses in preparation for stress events and new product launches
Liquidity Risk modelling and analysis
Develop models and infrastructure for understanding liquidity consumption by company’s products.
Partner with product and operational teams to translate complex liquidity risk scenarios into actionable insights for customer-focused solutions.
Document and present model results and risk assessments to senior stakeholders, controllers and the Risk team (the second line of defence). Explain complex concepts and propose strategies that align with the company’s risk appetite and business objectives.
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.
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.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
London, United Kingdom
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.