The RoleA Portfolio Data Consultant leads the end-to-end data validation process with clients for data conversion projects. The ideal candidate will have a strong understanding of financial portfolio data, a motivation to work on data problems, outstanding communication skills, and the ability to deliver results in adherence to project deadlines while meeting high-quality standards. They are passionate about understanding our client's needs, taking a hands-on approach to solving problems, working collaboratively with internal teams, and taking ownership of our client's success.Addepar takes a market-based approach to pay. A successful candidate's starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York.The current range for this role is $78,000 - $121,000 + bonus + equity + benefits.Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.What You'll DoLead the data validation process end-to-end with the client and internal projects teamsHold recurring training and working sessions with the clients throughout the data validation project until completionSupport clients with researching and identifying portfolio data performance discrepancies and make recommendations on how to best fix the data issuesReview, compare, and document system calculation methodologies differencesCoordinate across project teams, communicating regular status updates for assigned data projects and while effectively setting expectationsRaise key issues to project team members and senior leadershipPrioritize and context-switch effectively to complete simultaneous projects, seeing each through to the finish lineIdentify and drive opportunities to improve current processes, workflows, and tools to increase efficiency and automationWho You AreB.S in Finance, Mathematics, Statistics, Business or Economics2+ years experience working in Finance and TechnologyUnderstands financial markets and has experience with financial products and portfolio dataPositive attitude, strong work ethic, proactive and a high contributing teammateIndependent, adaptable, and can thrive in a fast-paced environmentExcellent communication, organizational, and time-management skillsExperience programming in Python language is a plus
