Product Design Lead in London
UBS London About the role
Your role
Are you an analytic problem solver? Do you know how different pieces should work together to form the broader picture? Do you know how to form strong links between different parts of the organization? Are data and the processing of data interesting to you? We’re seeking a clear communicator with creative energy and a collaborative, adaptable mindset. The ideal candidate is comfortable partnering with diverse teams to deliver outcomes that drive meaningful results.
The role will require the candidate to:
- Provide leadership across specialized product teams to ensure the successful operation, enhancement, and growth of strategically important data products
- Work with research analysts and investors to help them incorporate alternative data products into their investment process
- Collaborate with a global team of researchers, engineers, data scientists and sales
- Transform large structured and unstructured data sets into scalable analytical solutions and actionable insights
- Monitor and improve the quality of underlying data sets collected from multiple sources
- Establish and promote best practices, including the effective adoption of AI-enabled tools and workflows, and drive adoption across the team
Qualifications
- Degree from an accredited college or university
- 5+ years of relevant experience, ideally gained in equity sell‑side research, buy‑side research, consulting, or at an alternative data provider
- Exposure to financial markets and understanding of financial statement analyses
- Advanced Excel skills preferred
- Experience with SQL and Python preferred
- Intellectually curious with strong analytic, quantitative, and critical reasoning skills
Location: London
Job Type: Full Time
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
Your tasks
Lead product teams to enhance and grow data products while collaborating globally.
Your profile
5+ years experience in relevant fields and strong analytical skills required.
What's also included
Full-time role with opportunities for professional growth in a dynamic environment.
Tech stack & ways of working
Product Design Lead in London employer: UBS
UBS is an excellent employer for a FX Quantitative Analyst in London, offering a dynamic work culture that fosters collaboration and innovation. Employees benefit from comprehensive professional development opportunities and the chance to engage with diverse stakeholders, ensuring meaningful contributions to high-impact projects in the fast-paced world of finance.
Your perspectives
Make a real impact by transforming data into actionable insights.
StudySmarter Expert Advice
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 UBS!
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 Product Design Lead at UBS.
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 UBS.
Apply Directly through Our Website
When you find a suitable opening like Product Design Lead at UBS, 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!
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 UBS, 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 UBS. 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 UBS
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 UBS!
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.
Locations
- London
