Lead Data Scientist - Liquidity

Wise; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Stock options in a profitable company

Hybrid working model

Annual personal development budget

Visa and relocation support

Job summary

Wise is seeking a Lead Data Scientist to join the Treasury team, focusing on liquidity management modelling and forecasting. You will design and implement models to ensure sufficient cash across regions and currencies, while driving operational efficiency.

You’ll partner with engineering, product, and risk to deploy robust data-driven solutions, influence decisions, and manage liquidity risk in a fast-growing global business.

Qualifications

• Strong Python knowledge with ability to read code and collaborate with engineers.
• Experience with big data technologies (Hadoop, Spark) and cloud platforms (AWS, GCP, Azure).
• Solid grounding in statistics, machine learning, linear algebra, and optimisation.
• Autonomous, product-minded, and able to operate in cross-functional teams.
• Excellent communication skills for non-technical stakeholders.

Responsibilities

• Design, implement, and refine liquidity forecasting and management models.
• Collaborate with treasury, product, and engineering to deploy scalable models.
• Develop analyses for stress events and new product launches.
• Translate liquidity risk scenarios into actionable, customer-focused insights and present results to senior stakeholders.

Skills

Python

Hadoop

Spark

AWS

Data warehousing

Statistics

ML

Optimization

Tools

Hadoop

Spark

AWS

GCP

Azure

Job description

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.

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.

Job Description

More about our mission and what we offer.

We are seeking a talented Lead Data Scientist with expertise in Liquidity management modelling to join our dynamic Treasury team. This role focuses on driving our models and optimising their impact on our liquidity usage.

Your work will have a direct impact on Wise’s mission and millions of our customers.

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.

A Bit About You

• Strong Python knowledge. Ability to read through code. Demonstrable experience collaborating with engineers.
• Experience with big data technologies such as Hadoop, Spark, or similar. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions.
• Strong knowledge in at least a few of the following areas: statistics, machine learning, linear algebra, optimisation.
• A strong product mindset with the ability to operate autonomously while working in a cross‑functional and cross‑team environment.
• Good communication skills and ability to get the point across to non‑technical individuals.
• Strong problem solving skills with the ability to help refine problem statements and figure out how to solve them.

Skills

Some extra skills that are great (but not essential):

• Experience in supply/demand modelling and forecasting — could be in supply chain optimisation or liquidity management in a financial company.

Key Benefits

• Stock options in a profitable company
• Hybrid working model - whether it’s working from home, working overseas, school plays or life admin we get that flexibility is essential
• Annual personal development budget - whether it’s for books, courses, or conferences
• Visa and relocation support

You can read more about our full benefits package here...

Additional Information

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

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