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Lead Data Scientist - Treasury Liquidity
Wise
- +3
- +9
- London, England, United Kingdom
- +3
- +9
- London, England, United Kingdom
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Lead Data Scientist - Treasury Liquidity
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Wise Lead Data Scientist - Treasury Liquidity
Join to apply for the
Lead Data Scientist - Treasury Liquidity
role at
Wise Get AI-powered advice on this job and more exclusive features. Company Description
Wise is a global technology company, building the best way to move and manage the world’s money. 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.
Job Description
More about
our mission
and
what we offer .
We are seeking a talented
Operating Liquidity 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.
Qualifications
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 work 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.
Additional Information
We are looking to pay £85,000 - £115,000 PA + RSUs
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.
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. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Referrals increase your chances of interviewing at Wise by 2x Sign in to set job alerts for “Lead Data Scientist” roles.
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Wünschenswerte Fähigkeiten
- AWS
- Azure
- GCP
- Hadoop
- Linear Algebra
- Machine Learning
- Python
- Spark
- Statistics
Berufserfahrung
- Data Engineer
- Fullstack
- Data Scientist
Sprachkenntnisse
- English
Hinweis für Nutzer
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