At a Glance
- Tasks: Lead the strategy and development of innovative Data & Analytics products for capital markets.
- Company: A well-established, PE-backed provider of post-trade technology.
- Benefits: Hybrid work model, strong backing from private equity, and a collaborative environment.
- Other info: Opportunity for career growth and influence over product direction.
- Why this job: Make a significant impact on the future of financial data products in a strategic role.
- Qualifications: 5+ years in Product Management within capital markets technology and data.
A well-established, PE-backed provider of post-trade technology is seeking a Senior Product Manager to lead the strategy and development of its next generation Data & Analytics product suite. The business supports many of the world's leading financial institutions and has built a significant repository of capital markets data across complex post-trade workflows. As investment continues across analytics, intelligence and AI-enabled capabilities, the firm is looking for an experienced Product Manager who understands how to transform financial market data into valuable products used by institutional clients. This is a high-profile role with significant influence over product direction, working at the intersection of data, analytics, product strategy and capital markets.
The Role
You will own the roadmap for a growing portfolio of Data & Analytics products, working closely with engineering, data and commercial teams to deliver solutions that help clients extract greater value from complex datasets. The role will involve identifying new opportunities for analytics, intelligence and AI-driven capabilities, whilst ensuring products solve real-world challenges faced by market participants.
Key responsibilities include:
- Defining and executing the Data & Analytics product strategy
- Identifying opportunities to commercialise and enhance existing data assets
- Leading product discovery with clients and industry stakeholders
- Translating business requirements into clear product outcomes and delivery plans
- Working closely with engineering and data teams to build scalable data products
- Prioritising product investment and managing the roadmap
- Supporting go-to-market activities and acting as a subject matter expert for the product suite
- Contributing to the firm's long-term AI and advanced analytics strategy
Required Experience
This role requires an individual who has built Data & Analytics products specifically within capital markets. Candidates should demonstrate experience developing products that leverage financial market data and deliver measurable value to institutional users. Relevant experience may include:
- Data platforms, data lakes or data lakehouse environments
- Data lineage, governance and data quality initiatives
- Analytics, reporting and business intelligence solutions
- Client-facing dashboards and decision-support tools
- Market, transaction, operational, risk or post-trade data products
- Securities finance, collateral, repo, clearing, settlement, market infrastructure or broader capital markets workflows
Ideal Profile
Minimum 5 years Product Management experience within capital markets technology/ data. Applicants at VP/ Director level will be considered. Proven track record building and launching data-driven products for institutional financial markets. Strong understanding of modern data architectures and data product development. Experience working closely with engineering, architecture and data teams. Excellent stakeholder management and product discovery skills. Ability to balance commercial opportunities with technical delivery considerations.
Experience with AI, machine learning or advanced analytics products would be advantageous. However, deep experience building Data & Analytics products within capital markets is considered significantly more important than a pure AI background.
Why Apply?
- Strategic role within a recognised post-trade technology provider
- Significant influence over the future Data & Analytics roadmap
- Opportunity to work with large-scale capital markets datasets
- Strong backing and continued investment from private equity owners
- Collaborative and growth-oriented environment
Product Manager - Data & Analytics - Capital Markets in Slough employer: Trevose Partners
Join a well-established, PE-backed provider of post-trade technology in London, where you will play a pivotal role as a Senior Product Manager in Data & Analytics. The company fosters a collaborative and growth-oriented culture, offering significant opportunities for professional development while working with large-scale capital markets datasets. With strong backing from private equity owners, you will have the chance to influence the future of data-driven products that deliver real value to institutional clients.
StudySmarter Expert Advice🤫
We think this is how you could land Product Manager - Data & Analytics - Capital Markets in Slough
✨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 Trevose Partners!
✨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 Manager - Data & Analytics - Capital Markets at Trevose Partners.
✨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 Trevose Partners.
✨Apply Directly through Our Website
When you find a suitable opening like Product Manager - Data & Analytics - Capital Markets at Trevose Partners, 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 Product Manager - Data & Analytics - Capital Markets in Slough
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 Trevose Partners, 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 Trevose Partners. 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 Trevose Partners
✨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 Trevose Partners!
✨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.
