Data, Analytics & Reporting Analyst - Data Engineering Team

Required Qualifications

• Prior experience in data analytics, quantitative development or reporting within investment management or financial services, with strong knowledge of investment data, portfolio analytics, performance attribution and risk.
• Bachelor's or Master's degree in mathematics, statistics, computer science, data science or a related quantitative field.
• Advanced proficiency in Python, R and Structured Query Language (SQL), together with experience using database platforms.
• Strong communication skills, with the ability to explain complex concepts clearly to technical and non-technical audiences and collaborate across functions and locations.
• Proven ability to manage multiple priorities, deliver high-quality work to deadlines and demonstrate initiative, intellectual curiosity and a practical problem-solving mindset.

Preferred Qualifications

• Professional certification such as Chartered Financial Analyst (CFA) or Financial Risk Manager (FRM) is preferred.
• Experience with cloud platforms such as Amazon Web Services or Microsoft Azure, big data technologies or business intelligence tools is preferred.
• Experience with investment data platforms such as Bloomberg, FactSet, Morningstar, eVestment or Aladdin is preferred.
• Background in investment consulting, multi-manager investing or investment operations is preferred.
• In-Office Collaboration
• We are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders - clients, advisors, employees and shareholders. Our employees work in the office at least four (4) days per week, with flexibility to work from home one (1) day per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.

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