Job description

Who We Are 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 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role A Portfolio Analytics Architect is responsible for leading the data validation process end-to-end 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 with project deadlines while meeting high quality standards. They are passionate about understanding our clients needs, take a hands-on approach to solving problems, work collaboratively with internal teams and take ownership of our clients success. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B , F-1 /OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. What You’ll Do Lead the data validation process end-to-end with the client and internal projects teams Develop scalable data analytics processes for validation in Databricks Write custom Python logic to detect large-scale data anomalies and automate remediation Facilitate recurring client sessions to track progress and steer the data validation project through to completion. Support clients with researching and identifying portfolio data performance discrepancies and make recommendations on how to best fix manual data issues Review, compare and document system calculation methodologies differences Coordinate across project teams communicating regular status updates for assigned data projects and while effectively setting expectations Mitigate project risks by effectively escalating key impediments to stakeholders and executive leadership. Prioritize and context-switch effectively to complete simultaneous projects; seeing each through to the finish line Identify and implement AI-driven automation and LLM integrations to streamline implementation Who You Are B.S in Finance, Mathematics, Statistics, Business or Economics 2+ years experience working in Technology, Finance, or Consulting Hands-on experience working with complex investment datasets, including multi-asset class portfolios, performance data, and market data from various sources Proficiency in Python, Spark, and/or SQL with familiarity of ETL fundamentals Working knowledge of REST APIs Experience with Databricks and/or a cloud-based distributed data platform Solution-oriented approach and a passion for problem solving Proven ability to research, design and implement solutions for complex problems Positive attitude, strong work ethic, proactive and a high contributing team player Independent, adaptable and can thrive in a fast-paced environment Excellent communication and presentation skills, with proficiency in handling client objections 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 this role within the United States. Compensation for this role includes base salary + 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. Base Salary Range $103,000 — $129,000 USD 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. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to ta-operations@addepar.com .

Requirements

Must-haves

B.S in Finance, Mathematics, Statistics, Business or Economics
2+ years experience working in Technology, Finance, or Consulting
Hands-on experience working with complex investment datasets, including multi-asset class portfolios, performance data, and market data from various sources
Proficiency in Python, Spark, and/or SQL with familiarity of ETL fundamentals
Working knowledge of REST APIs
Experience with Databricks and/or a cloud-based distributed data platform
Solution-oriented approach and a passion for problem solving
Proven ability to research, design and implement solutions for complex problems
Positive attitude, strong work ethic, proactive and a high contributing team player
Independent, adaptable and can thrive in a fast-paced environment
Excellent communication and presentation skills, with proficiency in handling client objections
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.

Nice-to-haves

Compensation for this role includes base salary + bonus + equity + benefits.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonllmsqlrest

Platform: greenhouse
Effort: quick