Lead Data Scientist - Treasury Liquidity
Lead Data Scientist - Treasury Liquidity
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Job Description
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 Wises mission and millions of our customers.
About the Role:
As part of the team youll 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.
Heres how youll 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 treasurys 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 companys 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 companys 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.
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 :
For everyone everywhere. Were people building money without borders without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.
Were 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. Were people building money without borders without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.
Were 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 its like to work at Wise visit .
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
