Lead Data Scientist - Liquidity

Mat Vin; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Stock options

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 and lead liquidity management modelling. You’ll design, implement and refine models forecasting liquidity and influencing strategic decisions across our multi-region product portfolio.

You will partner with product, engineering and operations to deliver scalable data-driven solutions, ensuring liquidity sufficiency and controlled risk, while driving efficiency and innovation across the organisation.

Qualifications

• Strong Python knowledge and ability to read code.
• Experience collaborating with engineers.
• Experience with big data technologies (Hadoop, Spark) and cloud platforms (AWS, GCP, Azure).
• Strong knowledge in statistics, machine learning, linear algebra and optimisation.
• Autonomous with a product mindset in a cross-functional environment.
• Good communication and problem-solving skills.

Responsibilities

• Develop liquidity forecasting and demand/supply models for a multi-region portfolio.
• Analyze data to improve liquidity efficiency, balancing sufficiency and excess.
• Collaborate with engineering to deploy models in treasury backoffice at scale.
• Prepare stress scenarios and new product analyses; present to senior stakeholders.

Skills

Python

Big Data

Hadoop

Spark

AWS

GCP

Azure

Statistics

Machine Learning

Linear Algebra

Optimization

Product Mindset

Communication

Problem Solving

Job 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 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.

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 ...

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.

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 .

Job Description

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.

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 ...

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.

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 .

---Sector: FintechSubsectors: Marketplace, Fintech, Forex, Sharing EconomyFunctions: Data Science

Amsterdam, Netherlands, Ireland, Dublin, Ireland, Netherlands