Addepar

Tech / AI / Software

ProductAnalyst

United Kingdom Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Product Analyst at Addepar. Skills: Product Operations, AI, Data, Software solutions, Customer experience. Improve how a Global Organization identifies customer problems, creates, commercializes and operates AI, Data, and Software solutions. Design SMART goals and associated metrics”

What You'll Achieve.

Improve our ability to measure our impact in accelerating the building of features, products, and solutions.; Lead to better, scaled customer experiences.

Industry & Context.

Tech / AI / Software
Problems you'll solve

Analytical and Problem solving mindset; Decompose abstract problems into experiments

Eligibility Requirements

Must have, and maintain, the right to work in the United Kingdom from the first day of employment., Visa sponsorship is not available for this role.

What They're Looking For.

Must Have

Analytical and Problem solving mindset, Comfortable interacting with stakeholders to decompose abstract problems into experiments, SQL expertise, Prior Software or Data Engineering experience

Nice to Have

Consulting Experience, Proficiency with Ai Tools (specifically Claude), Experience using ML/Ai techniques, Proficiency in Python and / or Javascript, Experience with Data Lake platforms Databricks (preferred), Snowflake, Amazon Redshift, BigQuery or Microsoft Fabric, Experience with Figma, Canva, Lucid etc, or other Design Mocking or Prototyping tools, Computer Science, Operations Research, Economics, Statistics, or similar engineering background, Experience in Financial Services and especially in Wealth Management

What You'll Do.

Improve how a Global Organization identifies customer problems

commercializes and operates AI

and Software solutions

Design SMART goals and associated metrics

Improve Product lifecycle and Software development practices

How You'll Work.

Team & Collaboration

Work with stakeholders to design Initiatives and Projects that you will own

Full 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 1,400 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 and São Paulo. The Role You’ll help Product Operations leverage AI to change how we manage information and take action. You will improve our ability to measure our impact in accelerating the building of features, products, and solutions. This will lead to better, scaled customer experiences. 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 Improve how a Global Organization identifies customer problems, creates, commercializes and operates AI, Data, and Software solutions. Work with stakeholders to design Initiatives and Projects that you will own. Design SMART goals and associated metrics. Improve Product lifecycle and Software development practices. Work with Financial Products Stocks, Bonds, Mutual Funds, Alternative Investments Improve how we serve our Customer Segments Wealth Management Firms Enterprises / Large Banks Institutional Investors Who You Are While it’s helpful to know Financial Services, and more specifically Wealth Management, it isn’t required. You must be willing to learn all aspects of our business, financial products, product development, and business strategy. You’re a problem solver with an experimentation mindse

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