At a Glance
- Tasks: Drive data-driven decisions to combat financial crime and enhance customer experience.
- Company: Join Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, hybrid working, generous leave, and stock options.
- Other info: Collaborate with over 100 analysts in a diverse and inclusive environment.
- Why this job: Make a real impact in a mission-driven team focused on innovation.
- Qualifications: Strong analytical skills, experience with SQL and data visualisation tools.
The predicted salary is between 60000 - 85000 £ 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’re looking for a Senior Product Analyst who is passionate about our mission of Money Without Borders to partner with our financial crime product teams to help drive data-driven and innovative growth decisions while helping to combat financial crime. At Wise, we strike a critical balance between user experience and the stringent demands of risk prevention.
The Screening team is building a robust control framework that screens customers, counterparties, and transactions across all Wise products. Our systems prevent the onboarding of sanctioned individuals and entities, identify politically exposed persons, and detect adverse media risk - while keeping the customer experience as invisible and frictionless as possible. We ensure that associated risks are thoroughly mitigated and that controls are functioning effectively.
As a Senior Product Analyst, you'll be driving analytics efforts that balances the work between mitigating risk and enabling a smooth customer experience. You’ll collaborate closely with your product managers, engineers and operational teams to bring your insights into real change for our customers and help drive our mission! You’ll also be a part of a wider team of over 100 Analysts! You’ll get to collaborate on cross-team projects, develop technical skills and bring ideas about how we can improve analytics across Wise.
Key Responsibilities:
- Expose the vast amount of data available to the organisation in a meaningful and actionable way in which people can proactively access the information without friction or need for analyst assistance.
- Proactively contribute to, own, create, track key metrics and results for the organisation, keeping them accountable throughout the quarter.
- Support your team by conducting research, building and maintaining data pipelines, preparing reports, and creating visualisations.
- Drive discovery analyses by scoping new opportunities and suggesting initiatives to improve our existing controls framework and customer experience.
- Collaborate with various stakeholders in the organisation and effectively communicate your insights into real change for our customers.
Qualifications:
A BIT ABOUT YOU
- You have strong quantitative skills. Ideally a background in statistics, mathematics, physics, engineering, analytics, computing, or any other scientific areas.
- You have experience with SQL, python/R, dbt (ideally) and building data pipelines.
- You have strong communication skills and an ability to translate business insights into persuasive analytical narratives that are simple to understand.
- You have an ability to structure business problems with minimal supervision and an ability to prioritise problems independently, as well as condense complex systems/ideas into simple-to-understand models.
- Hustler-mentality. You can take work beyond the analysis and get things done.
- You have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate confident storytelling ability with data.
- You have a minimum 3 years of experience analysing data in a professional setting.
What do we offer:
- Salary: £60,000 - £85,000
- Company Restricted Stock Units
- Numerous great benefits in our London office
- Hybrid working + MobileWiser (Work from anywhere in the world for up to 90 days a year)
- Paid annual holiday, sick days, parental leave and other leave opportunities
- 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave
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.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Analyst - FinCrime (Screening) (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
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 Senior Product Analyst - FinCrime (Screening) (London) at Wise.
✨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 Senior Product Analyst - FinCrime (Screening) (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 Product Analyst - FinCrime (Screening) (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.
