At a Glance
- Tasks: Transform raw data into actionable insights and drive data quality analysis.
- Company: Join Addepar, a global leader in data and AI for investment professionals.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on collaboration and client success.
- Why this job: Make a real impact in the financial sector with innovative data solutions.
- Qualifications: Experience in data analysis, strong SQL skills, and a passion for problem-solving.
The predicted salary is between 63000 - 77000 £ per year.
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo.
The Role
We are seeking a Product Manager to join our Reference Data team, based in Edinburgh. Reference Data is part of the Data Enablement team at Addepar. Our mission is to build a scalable, efficient, and high quality data platform that integrates, connects, productionises, and distributes third-party data content across Addepar and to our clients and partners. Our team is organised across two product tracks — Market Data Feeds and Addepar Security Master (ASM). This role will power these tracks. You will be working on projects that focus on turning raw data into the clear, well-structured insights that help our team make better decisions, move faster, and deliver more confidently across feeds, security mastering, and commercial reporting. This role requires deep data skills, rigorous thinking, and the ability to approach tasks with a builder mindset. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role.
What You'll Do
- Work on a series of projects that will serve as the analytical foundation across the team, running the data investigations, ad hoc queries, and structured analyses that inform our prioritisation, requirements, and decisions.
- Drive data quality analysis layer for Market Data Feed builds and our security master: profiling incoming vendor data, validating transformations, identifying anomalies and coverage gaps.
- Build and maintain the reporting infrastructure that gives the team and leadership visibility into dataset profitability, vendor licensing costs vs. revenue, pipeline health, feed coverage, and commercial activity.
- Query across our data systems to produce views and dashboarding on profitability by dataset, spend vs. budget, commercial pipeline tracking.
- Support ASM operational workflows through data by generating output that help us such as running reconciliation queries, validating node matching and security ID linking, and surfacing data quality issues that require attention by our team.
- Productising our ability to monitor market data pipelines and operational dashboards, triaging feed errors and flagging issues to operations and/or R&D with enough context to act.
- Actively using and applying AI-assisted tools to accelerate Refdata product outcomes.
- Maintain and upkeep our licensing inventory including dashboards that track spend against budget, renewal timelines, and licensing events and keep those views accurate and accessible to a wide audience.
Who You Are
- Prior experience as a data analyst, business analyst, or product analyst ideally in financial services or a data-intensive SaaS environment where data quality and rigour matter.
- Strong SQL skills - you can write complex queries confidently and use them as a primary tool for investigation, not just reporting.
- Experienced with AI-assisted tools to facilitate getting work done, particularly applying them to real analytical tasks tied to business outcomes.
- Experience with Python for data work: analysis, scripting, and automation; comfortable with pandas, Jupyter, or similar tools.
- Able to build reporting that spans multiple data sources with knowledge on how to join pieces of information like Salesforce data with finance data and operational data and produce something coherent and trustworthy.
- Ideal if knowledgeable in financial data concepts such as asset class and security level concepts, reference data, and pricing or the desire to learn more about these concepts.
- A builder and self-starter that is dependable in your work. Teammates trust what you produce.
- A clear communicator who can write up findings, document processes, and present analysis to diverse audiences.
Our Values
- Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
- Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
- Champion Our Clients - Exceed client expectations. Our clients’ success is our success.
- Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
- Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.
In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Product Manager - Reference Data employer: Addepar1
Addepar is an exceptional employer, offering a dynamic work environment in Edinburgh where innovation and collaboration thrive. Employees benefit from a culture that champions learning and inclusivity, alongside opportunities for professional growth through mentorship and technical leadership. With a commitment to driving impactful solutions in the financial sector, Addepar empowers its team members to make significant contributions while enjoying the advantages of working within a global data and AI platform.
StudySmarter Expert Advice🤫
We think this is how you could land Product Manager - Reference Data
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Addepar1!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Addepar1 would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Addepar1 through your school's career services!
We think you need these skills to ace Product Manager - Reference Data
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Product Manager - Reference Data, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Product Manager - Reference Data position at Addepar1. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Addepar1
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
