Associate

Position

As a member of MIO’s investment team, the Associate role is ideal for those pursuing a long-term career in investment management with a focus on research and market analysis. The position offers the opportunity to develop deep content expertise, support portfolio strategy, and contribute to proprietary insights used across the firm. This is a long-term, early-career opportunity (3–5-year commitment preferred). It is not suited for candidates seeking short-term roles or those uninterested in data-driven analysis of financial markets.

Primary responsibilities 

The Associate will be responsible for supporting tasks related to creating new

 research and maintaining existing research. Their principal duties will include:

• Understanding the research agenda and starting to develop content-area expertise
• Working with a Portfolio Manager and/or Associate Portfolio Manager to apply both qualitative and quantitative approaches to test investment hypotheses
• Developing intuition for the behavior of key market actors and how they can drive pricing inefficiencies
• Finding and selecting raw data inputs, producing research outputs (for example, an ongoing dashboard monitoring a relationship or a one-time white paper determining the nature of a relationship), and documenting the research methodology
• Ownership over existing body of research, thoroughly understanding the content, making substantial content improvements (i.e., insights, usability, visual quality), managing and improving the processes for keeping our research output updated (e.g., automating and systematizing the production of ongoing research). Wherever possible, integrating research so that insights from multiple research streams can be combined to produce new insights.
• Actively assist in systematizing MIO’s quantitative research, including standardizing research production and developing/managing a portion of MIO’s quantitative research database (including metadata maintenance and streamlining), at times working closely with the Investment IT team. Optimizing macroeconomic and financial data sourcing across the organization.
• Potentially supporting Portfolio Managers and/or Associate Portfolio Managers in implementing and monitoring trades to provide perspective on and validation of their strategies and hypotheses

Desired background

The most important qualities for an Investment Associate are strong analytical thinking, intellectual curiosity, sound judgment, and the ability to translate complex information into practical investment insights. A commitment to producing high-quality work, openness to new ideas, and alignment with a values-oriented rather than solely profit-driven environment, where the best interests of our investors come before personal objectives, are also critical to success in the role.

The Associate will need to be comfortable manipulating large datasets drawing intuitive conclusions, and then communicating findings clearly and visually to both technical and non-technical audiences. The ability to connect research findings to market behavior and practical investment decisions is more important than technical or theoretical sophistication alone.

Prior knowledge and experience with financial markets and/or macroeconomic concepts, terminology, and data would be helpful in enabling the candidate to quickly learn our existing research and be more immediately productive in creating new research.

Ideal qualifications include:

• 0-2.5 years of professional work experience strongly preferred, not required
• Undergraduate degree with a record of outstanding academic achievement (required)
• Coursework in finance, business, and economics is highly desirable (and may be required for certain roles)
• High proficiency in Excel is required. Familiarity with Bloomberg and experience creating clear charts or dashboards are helpful. Experience using Python, coding agents and other AI tools to accelerate research, analysis, and coding is a plus, but not required 
• Working knowledge of Bloomberg; knowledge of other industry-standard macroeconomic and financial market data sources (e.g., IHS Global Insights, Markit, Haver, Thomson Reuters DataStream, S&P Capital IQ, Moody’s Economy.com)

Key Competencies & Attributes:

• Attention to detail; ability to prioritize accuracy over false precision
• Strong, naturally curious problem-solver (e.g., issue identification, structuring)
• Comfort with both qualitative and quantitative methodologies to approach (and simplify) complex questions
• Strong mathematical, analytical, and quantitative skills
• Excellent communication skills: ability to communicate complex concepts in simple terms and to link quantitative insight with business logic and intuition
• Team player who places the best interests of the firm above personal objectives
• Integrity; strong personal values; work ethic; maturity
• Desire to work in a values-oriented environment focused on maximizing returns for our investors