MIO Partners, Inc. · 2 hours ago
Senior Quantitative Research Manager
MIO Partners, Inc. is a registered investment adviser that provides proprietary investment products and independent financial advice to McKinsey’s partners. The Senior Quantitative Research Manager will enhance quantitative research methodologies and collaborate with Portfolio Managers to optimize systematic strategies and implement rigorous back-testing.
Asset ManagementConsultingFinancial ServicesRetirement
Responsibilities
Drive enhancement of MIO systematic investing capabilities:
The SQRM will work closely with PMs to develop backtesting tools tailored to their specific strategy and asset class needs. While front-end workflows may vary to suit individual use cases, the SQRM will ensure that the underlying backtesting logic and architecture remain as consistent as possible across implementations—promoting alignment, robustness, and maintainability without compromising on flexibility or quality
Collaborate closely with PMs to analyze, refine, and optimize existing or new quantitative investment strategies (e.g., by improving dynamic weighting of signals)
Establish rigorous testing, validation, and risk management protocols to maintain consistency, transparency, and reliability in systematic strategies
Drive the adoption of advanced statistical techniques, as needed
Support PMs / CIO in applying the quantitative toolkit to investment problems. Examples might include:
Utilize Monte Carlo simulations to model investment outcomes and evaluate strategy robustness under varying market scenarios
Apply factor modeling and attribution analysis to help improve investment decisions
Implement portfolio construction techniques to optimize risk-return profiles and enhance diversification
Model tail-risk scenarios and enhance stress testing framework
Guide and mentor research analysts to build internal expertise and continuously elevate team quant & coding capabilities; foster a collaborative environment and the emergence of a ‘quant culture’ within the team
Develop and share best practice guides and applied research papers, and engage the Investment Associates team through regular discussions
Advise and oversee Investment analysts coding practices, e.g.., hold ‘codebase review’ sprints in coordination with relevant PMs
These activities will involve working with a varied set of Investment MIO team members, such as investment associates, developers, research managers, PMs, and CIO
Qualification
Required
Significant experience as a quant
Skillset as a research leader who 'makes things happen'
Intellectual curiosity and passion for solving problems; continuous learning mindset
Distinctive problem solving and analytical skills, applied throughout their career to a variety of investment problems
Mastery of the quant toolkit (advanced statistical modeling, derivatives pricing, risk modeling, high performance numerical methods)
Excellent coding skills and proficiency in modern data science tools stacks (NumPy, pandas, scikit-learn, TensorFlow, PyTorch)
Proficiency with AI tools such as Cursor, GPT, Claude and similar LLM-based assistants to accelerate research
Proven ability to work with a complex set of stakeholders (developers, researchers, traders, PMs, senior management) to deliver high-quality, timely results
Outstanding written and verbal communication skills; able to interact both with technical and non-technical investment professionals; ties together technical depth with clear business-oriented insights
Desire to work in a values-oriented environment focused on maximizing returns for our investors
Placing best interests of our investors above personal objectives
Strong work ethic and drive necessary to out-think the competition
Applicants must be authorized to work in the U.S. without the need for employer-sponsored work authorization, now or in the future
Preferred
Exceptional academic background: PhD in quantitative fields (Mathematics, Statistics, Physics, Engineering, Computer Science) strongly preferred
8-12 years of total professional experience as a quantitative researcher and manager of researchers in top tier institutions, ideally both on the buy side and sell side
Experience in building systematic investment capabilities (including backtesting infrastructure) in high stakes environments
Benefits
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
Paid time off
Company
MIO Partners, Inc.
MIO (and related entities) is an indirect, wholly-owned subsidiary of McKinsey & Company and was formed in the early 1980s to provide asset management services for McKinsey’s retirement plan.