Product Analyst

Description:

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 mindset. You’ve proven an ability to learn rapidly and you have a desire to teach others. The proof could be a Graduate Degree in a technical or research discipline, having worked as a Consultant, or having a couple of years of experience as a Data Analyst or Software Engineer, working with customers or internal stakeholders using data to understand what’s happening. The important thing isn't the job title, it’s your mindset.

Must Haves
 

• 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 Haves
 

• 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
   

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.