At a Glance
- Tasks: Design and implement advanced monitoring systems for real-time liquidity management.
- Company: Wise, a global tech company revolutionising money movement.
- Benefits: Competitive salary, inclusive culture, and opportunities for career progression.
- Other info: Collaborative environment with a focus on innovation and inclusivity.
- Why this job: Join a passionate team and make a real impact on financial systems.
- Qualifications: Proven experience in data engineering and complex system design.
The predicted salary is between 60000 - 80000 £ per year.
Wise is a global technology company, building the best way to move and manage the world’s money. As part of our team, you will be helping us create an entirely new network for the world's money. We are looking for a passionate Senior Data Engineer II to join the Treasury Global Liquidity team and help design the foundations of the real-time liquidity observability stack and core business functions served by the team.
As an Engineering Lead, you will work in a highly collaborative environment, partnering closely with Product Managers, Analysts, Data Scientists and key stakeholders in our Treasury and Finance teams.
- Elevated Customer Experience:
- Financial Strength and Resilience: Design and implement advanced monitoring systems to optimize financial resource management systems, directly contributing to operational efficiency gains.
- Automated Investment and Risk Management Tooling: Develop systems that automate the investment of surplus cash while adhering to strict risk and regulatory parameters.
- Collaborate with data scientists and help develop machine learning to forecast future cash inflows and outflows across all currencies and jurisdictions with high accuracy, enabling proactive and optimal cash positioning and minimizing idle balances.
We are seeking a proven Data Engineer who thrives on complexity. The ideal candidate combines architectural depth in distributed systems with a sharp commercial and product intuition, capable of navigating the intricate trade-offs between financial cost, operational risk, and customer experience.
You have a strong background in software engineering, with proven experience designing, building, and operating complex and reliable event-driven systems in a production environment. You have a strong sense of ownership and the ability to think beyond technical implementation to understand how your team's work directly impacts business risk, cost, and customer satisfaction. You lead by example, inspiring your team to produce high-quality, maintainable code and uphold high engineering standards.
We're people building money without borders — without judgement or prejudice, too. 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.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer II - Treasury Global Liquidity (London)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Wise!
✨Show Off Your Projects
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Wise.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer II - Treasury Global Liquidity (London) at Wise, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Engineer II - Treasury Global Liquidity (London)
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Wise, 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. 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
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Wise!
✨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.
