Macro and Credit Research Analyst

Job Description

Research Analyst | Russell Investments

The Tone:
This is a full-time role at Russell Investments, a company whose Macro and Credit research team is responsible for rating and recommending investment strategies. Russell Investments provides strategies across the full spectrum of fixed income, credit, and macro strategies, including long-only and hedge fund formats, to internal and external clients. This role is crucial for assessing third-party investment managers and developing recommendations that directly impact client and Russell portfolios.

The TL;DR
• Role: Early Career
• Type: Full-time
• Location: US-based
• Pay: $85000–$100000 yearly
• Team: Macro and Credit research team, reporting to senior analysts
• Mission: Assesses and rates third-party investment managers for client and Russell portfolios.
• Tech Stack: Python, VBA, SQL, AI

What You’ll Actually Do
• Data Management: Collect and organize data to enable manager research.
• Strategy Evaluation: Conduct desktop analysis to form views on investment manager strategies.
• Client & Manager Interaction: Form agendas for onsite meetings with managers, integrate desktop research, extract critical information, and explain manager views and processes to clients.
• Recommendation Development: Propose investment ranks for manager strategies, substantiated by knowledge, and document manager views.
• Process Enhancement & Content Creation: Utilize AI to enhance processes and efficiency, prepare supporting content for investment recommendations, and create investment content for internal and external use.

The Must-Haves
• Background: Bachelor’s degree with a preference for a numerate or finance-related field, coupled with an understanding of investment principles, asset classes, financial theory, and strong fixed-income concepts and data.
• Experience: 2-4 years of investment or related experience, including previous portfolio analysis such as factor analysis, risk exposures, and performance attribution.
• Skills: Strong quantitative analysis skills with the ability to analyze complex data, programming proficiency in Python and VBA, detailed understanding of fixed income markets, excellent communication and interpersonal skills, and strong relationship management capabilities.
• Bonus: Master’s degree or higher, CFA or CAIA charter or progress, experience analyzing money managers and their strategies in the fixed-income universe, programming experience in SQL, and experience utilizing AI to enhance processes.