At a Glance
- Tasks: Lead data science projects to optimise liquidity management and enhance operational efficiency.
- Company: Wise, a global tech company revolutionising money movement.
- Benefits: Stock options, hybrid work model, personal development budget, and relocation support.
- Other info: Join a diverse team committed to inclusivity and professional growth.
- Why this job: Make a real impact on global finance while working with cutting-edge technology.
- Qualifications: Strong Python skills, experience with big data technologies, and a product mindset.
The predicted salary is between 75600 - 92400 £ per year.
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.
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
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.
Lead Data Scientist - Liquidity employer: Wise group
Wise is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong emphasis on employee growth, you will have the opportunity to lead a talented team while developing your skills in a dynamic environment. The company offers competitive benefits and a commitment to work-life balance, making it a rewarding place for those looking to make a meaningful impact in the KYC verification space.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist - Liquidity
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We think you need these skills to ace Lead Data Scientist - Liquidity
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Wise group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Wise group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Wise group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
