The Role
Addepar is a global technology and data company that helps investment professionals provide the most informed precise guidance for their clients. Hundreds of thousands of users have entrusted Addepar to empower smarter investment decisions and better advice over the last decade. With client presence in more than 50 countries Addepars platform aggregates portfolio market and client data for over $8 trillion in assets. Addepars open platform integrates with more than 100 software data and services partners to deliver a complete solution for a wide range of firms and use cases. Addepar embraces a global flexible workforce model with offices in New York City Salt Lake City London Edinburgh Pune Dubai Geneva and São Paulo.
As part of the broader Addepar Go-To-Market organisation the Data Client Support team is responsible for ensuring our customers receive first‑class support experience and are able to get the most value out of their data in Addepar. The Data Client Support group sits at the nexus of Addepars activity and requires daily communications with clients, data providers and other personnel across the company.
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
* Address client enquiries related to Addepars portfolio data feeds and general data product functionalities within established SLAs
* Manage and complete requests from internal Data teams that require client outreach and/or action to resolve data verification problems
* Investigate client‑reported bugs and data processing exceptions and triage with Engineering & Product when needed
* Partner with Account Managers, Solutions Architects and other members from GTM to drive alignment on data‑related issues and ensure positive outcomes for clients
* Participate in multi‑org projects to improve internal processes and in broad company initiatives to stand up new product functionality or services
Who You Are
* Ideally you’ll have a Bachelor’s degree or previous relevant experience
* Ideally you’ll have previous work experience in the financial investment/advisory industry with strong understanding of capital markets portfolio accounting and customer relationship management
* Outstanding communication and interpersonal skills with excellent attention to detail
* Track record of demonstrating self‑motivation to take on responsibility, a strong team‑player mentality and passion for delivering client‑centric outcomes
* Proactive and diligent in documenting team processes and finding opportunities to optimise team workflow efficiencies
* Familiarity with using MS Suite, Salesforce, Atlassian, SQL, Bloomberg, Thomson Reuters or other common financial services systems and applications is preferable
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.
Employment Details
Employment Type: Full Time
Experience: years
Vacancy: 1
Key Skills: Data Analytics, Microsoft Access, SQL, Power BI, R, Data Visualization, Tableau, Data Management, Data Mining, SAS, Data Analysis Skills, Analytics
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