At a Glance
- Tasks: Lead product analysis for cash management, shaping key financial products and strategies.
- Company: Join Wise, a global tech leader revolutionising money management.
- Benefits: Competitive salary, flexible working, private medical insurance, and generous leave policies.
- Other info: Inclusive culture with opportunities for personal growth and career progression.
- Why this job: Make a real impact in the fintech space with innovative solutions and data-driven insights.
- Qualifications: Experience in payments or banking, proficient in SQL and data analytics tools.
The predicted salary is between 75000 - 115000 £ 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. Wise Platform takes all of the world-class payments products Wise has built over the last 15 years and enables hundreds of millions of consumers and businesses to access them in the places where they already move and manage their money - with banks and large tech platforms.
As the Lead Product Analyst in Cash Management, you'll sit at the centre of one of Wise Platform's biggest growth and profitability opportunities: helping the world's largest banks and platforms manage Liquidity, Settlement and FX with Wise. You'll build the models, KPIs and decision frameworks that shape our Post‐Funding, Conversions and Treasury products, directly influencing take‐rate, partner revenue and GTM-strategy.
You will deliver high-impact, scalable data solutions such as building and maintaining robust models and data products that directly support the team's efficiency, effectiveness and risk appetite. You will proactively manage team KPIs, ensuring clear measurement and understanding of product performance, undertaking deep-dives and providing actionable recommendations to drive product objectives and roadmap.
You will be leveraging advanced analytics, crafting dashboards and visualisations that bring product performance data to life, tell a clear story, and offer diagnostic power. You will conduct opportunity sizing for product initiatives to understand short-term and long-term impacts against key performance indicators and our long term vision.
You have experience working in payments and/or banking. A plus if you're familiar with FX products, treasury or liquidity management domains. You are proficient with SQL and know your way around data pipeline management tools such as Snowflake, dbt, Git, Airflow, Python, and Lightdash. You're comfortable owning analytics from data transformation through to delivering actionable insights.
You are solution-oriented and able to own projects from start to finish. You should also be comfortable writing and maintaining clear and concise documentation and analysis. Proficient in python's various data transformation, visualisation and statistics libraries i.e. pandas, numpy, scipy and plotly.
Base salary of £75k - £115k (based on experience). Flexible working - you're trusted to do the right thing and be responsible. Private Medical Insurance + Life Insurance. Discounted gym memberships and cycle to work scheme. A paid 6-week sabbatical leave after four years. 26 weeks maternity leave at full pay. An annual self-development budget. Pet friendly offices.
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 Lead Product Analyst - Cash Management - WISE Platform in Bristol
✨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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✨Leverage Professional Networks
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 Lead Product Analyst - Cash Management - WISE Platform 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 Lead Product Analyst - Cash Management - WISE Platform in Bristol
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.
