The login process now requires two factor authentication. Please contact Support@miopartners.com if you require further assistance.
MIO performs asset class-specific and cross-asset class market research as well as macroeconomic research as part of its process for assessing investment opportunities, and for deciding how to manage our portfolios’ exposures. This includes monitoring economic conditions around the world and understanding how they compare with history, understanding historical asset returns and monitoring current asset pricing, and quantifying relationships between economic conditions and market performance. The asset classes we cover include equities, fixed income, credit, commodities, FX, among others.
Our Quantitative Research Analyst program is designed for those who have an aspiration to pursue an investment management career at MIO. This position will not be a good fit (professionally or financially) if you are not willing to commit for at least 3-5 years, or if you are not interested in quantitative modeling and financial markets. MIO has transitioned to a hybrid working arrangement. The new hire will be expected to report to our Midtown, New York offices 3 days/week. COVID-19 vaccination is mandatory for this position (subject to accommodation for health and religious reasons).
The Quantitative Research Analyst will be responsible for supporting tasks related to creating new research and maintaining existing research. His or her principal duties will include:
The most important qualities for the Quantitative Research Analyst will be their strong analytical thinking abilities and their tangible skillset, such as programming and data analytics. However, their desire to produce high-quality output, openness to new ideas, and their affinity for a values-oriented (rather than profit-driven) environment, in which the best interests of our investors are placed above personal objectives, are also paramount to success in the position.
The Quantitative Research Analyst will need to be comfortable manipulating large datasets and then drawing intuitive conclusions from them. They must be able to present findings graphically and intuitively to a non-technical audience. Strong communication skills are critical. A focus on drawing practical conclusions will be more important than theoretical rigor.
Prior knowledge and experience with financial markets and/or macroeconomic concepts, terminology and data would be helpful in enabling the candidate to quickly come up to speed on our existing research, and to be more immediately productive in creating new research.
The candidate’s background will ideally include:
In addition, a successful candidate will possess the following personal attributes: