At a Glance
- Tasks: Lead product analysis for cash management, shaping key financial products and strategies.
- Company: Join Wise, a fast-scaling fintech with a dynamic start-up culture.
- Benefits: Competitive salary, flexible working, private medical insurance, and generous leave policies.
- Other info: Enjoy a pet-friendly office and opportunities for personal development.
- Why this job: Make a real impact in the fintech space while working with top banks and platforms.
- Qualifications: Experience in payments or banking, proficient in SQL and data management tools.
The predicted salary is between 75000 - 115000 £ per year.
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. This is a high‑autonomy role in a fast-scaling “start‑up within a scale‑up” environment. You’ll turn ambiguous partner and treasury problems into crisp insights, compelling narratives and clear product bets, working closely with Product, Engineering, Commercial and Finance to ship improvements that unlock volume, reduce friction, and increase margin.
WHAT YOU’LL BE DOING
- 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 will support product discovery through initiatives such as market sizing, research, and scenario modelling to inform the product roadmap.
Qualifications
- 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 commercially minded. Able to translate your analysis into impact and comfortable with opportunity sizing, prioritisation and scenario modelling.
- You have experience working in a high-growth B2B tech environment and have worked closely with product teams before.
- You are solution-oriented and able to own projects from start to finish. You are comfortable motivating stakeholders across Wise and negotiating timelines to unblock yourself and make things happen!
- You are an excellent communicator, able to form your own opinions and effectively articulate them to influence key stakeholders. You should also be comfortable writing and maintaining clear and concise documentation and analysis.
NICE TO HAVE BUT NOT ESSENTIAL
- Proficient in python’s various data transformation, visualisation and statistics libraries i.e. pandas, numpy, scipy and plotly.
- Experience leading a team or owning a whole product domain.
Benefits
- Base salary of £75k - £115k (based on experience).
- RSU's in a growing and publicly listed company.
- Work from (almost) anywhere in the world for up to 90 days a year.
- 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.
- Annual Mission Days festival.
- Pet friendly offices.
Lead Product Analyst - Cash Management - WISE Platform in London employer: 慨正橡扯
Wise is an exceptional employer that fosters a dynamic and innovative work culture, particularly for the Lead Product Analyst role in Cash Management. With a focus on employee autonomy and growth, Wise offers flexible working arrangements, generous benefits including a paid sabbatical, and a commitment to professional development, making it an ideal environment for those looking to make a meaningful impact in the fintech space.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Product Analyst - Cash Management - WISE Platform in 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 慨正橡扯!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Product Analyst - Cash Management - WISE Platform at 慨正橡扯.
✨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 慨正橡扯.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Product Analyst - Cash Management - WISE Platform at 慨正橡扯, 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 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 慨正橡扯, 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 慨正橡扯. 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 慨正橡扯
✨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 慨正橡扯!
✨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.