Quantitative Portfolio Analyst

Position
MIO’s Portfolio Analytics Group seeks a Portfolio Analyst to own investment and risk management-related firm-level analytics. The PAG team is responsible for developing and maintaining our analytics platform underlying our manager selection activities (i.e., it is central to our alpha engine). This includes conceptual/framework ownership, data management, systems development, and putting in place robust processes and support for our Portfolio Managers. The new hire will be primarily responsible for three broad areas:

Primary responsibilities

The new hire will be primarily responsible for three broad areas:

1. Core routine analytics

• Take ownership of and enhance existing manager selection, market risk, attribution and reporting analyses, and related processes
• Ensure consistency and accuracy of system outputs and reports published by the PAG team
• Thought partner and design solutions with Quant Dev team to implement enhancements in our calculations and reports to reflect framework refinements, portfolio changes, or additional reporting requirements
• Expect to work on multiple projects simultaneously; these projects may include ad-hoc analyses, data visualization, and calculating metrics concerning current portfolio and risk issues
• Create documentation of calculation frameworks, output data, and report generation
• Provide recommendations to the team to improve calculations, methodologies, and systems and automate processes

2. Projects for improvements and updates to analytics: Own and execute projects for improvements to the analytics frameworks outlined above (collaborating with Investments/Risk/PAG/IT teams)

3. Ad-hoc research and analyses: Be a thought partner and provide analytical support to CIO/CRO/PMs in ad-hoc custom research analyses (either executing independently or working with analysts); recommend solutions, keep stakeholders informed upon execution, and utilize analyst assistance when it makes sense.

This role requires a very strong ownership mentality (including building a deep conceptual understanding and meticulous execution) of the routine analytics produced by the team and ensuring high-quality control of outputs delivered. In addition to routine analytics, we anticipate increasing project work to improve existing analytics and create new analytics. The candidate must rapidly grasp new concepts since the team is expected to work on various analytics. The role also requires intellectual curiosity and a mindset for problem-solving to consider continuous improvements to routine tasks and to execute projects that will require collaboration with many stakeholders.

Profile of the successful candidate
The ideal candidate will possess the following capabilities:

• Innate Curiosity and Meticulousness: We seek a candidate whose natural curiosity drives them to understand the intricacies of systems at a fundamental level. This individual does not merely complete tasks but delves into the mechanics of processes, akin to someone who, knowing it is precisely 4 PM, has achieved this certainty by disassembling, understanding, and meticulously maintaining each watch component. Our complex risk and exposure reporting framework, built on diverse data sources, assumptions, and mathematical calculations, requires this depth of curiosity and attention to detail to preemptively identify and address potential inaccuracies that may not be immediately apparent.
• Analytical Problem-Solving Expertise: We value candidates with a proven analytical and conceptual problem-solving track record, essential for navigating our risk framework. The ability to embark on research-driven mini-projects, define clear objectives, break down issues systematically, and determine the most effective analyses to resolve these challenges is crucial. A structured approach to thinking and problem-solving is paramount for success in this role.
• Project Management Proficiency: The role involves managing numerous mini-projects, requiring an inherently organized candidate adept at project management. The successful candidate will set realistic yet ambitious milestones to ensure timely project progression and skillfully manage communication with all stakeholders to keep projects on course and aligned with expectations.
• Foundational Investment Theory Knowledge: A deep understanding of investment theory is essential, particularly relevant to a macro-oriented asset management context. Candidates should have substantial experience and knowledge in calculating and managing "beta" and "alpha," comprehending how factors and styles contribute to systemic (beta) risk, grasping the mathematical foundations of portfolio theory, and employing key investment assessment techniques such as the information ratio.
• Ownership and outcome-oriented mindset: The successful candidate will have a strong ownership mindset around their outputs and the calculation frameworks and systems producing them. This mindset should naturally produce high-quality outputs and ensure analytics are fit for purpose. As the team leader, the candidate must focus on achieving outcomes and not just completing the assigned tasks. Some outcomes will require thinking of new tasks that may not be apparent earlier and instinctively working on them to achieve desired objectives.

Desired background

• 2-4 years of relevant experience in a quantitatively oriented investment function, ideally gained at an allocator (endowment, fund of fund, or possibly multi-strat platform), equities or macro-focused (and quantitatively oriented) hedge fund, or the risk group of a leading prime broker
• Graduate degree in financial engineering, computational finance, economics, statistics, computer science, finance, mathematics, or related quantitative field
• Strong conceptual understanding of Finance/Risk concepts; ability to absorb new concepts quickly
• Strong conceptual understanding of Finance/Risk concepts; ability to absorb new concepts quickly
• Strong analytical and quantitative skills (comfort in sophisticated economic analyses)
• Strong communication skills
• Strong knowledge of Excel/VBA, Tableau, Python
• Participation in CFA / FRM program is a plus

Certain US states require MIO Partners, Inc. to include a reasonable estimate of the salary range for this role. A reasonable estimate of the range for new joiners for this role in the United States is $130,000-$130,000. Actual salaries may vary and may be above or below the range based on various factors, including, but not limited to an individual’s assigned office location, experience, and expertise. Certain roles are also eligible for bonuses, subject to MIO’s discretion and based on factors such as individual and/or organizational performance. Additionally, MIO offers a comprehensive benefits package, including medical, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement program, financial guidance, and paid time off.