Senior Quantitative Research Manager

Posted 21 Days Ago
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New York, NY
In-Office
250K-250K Annually
Senior level
Financial Services
Enhancing clients' long-term wealth and building a great investment organization of exceptional people.
The Role
Manage and enhance quantitative research methodologies, collaborate on systematic strategies, and mentor research analysts to elevate quant capabilities.
Summary Generated by Built In

MIO Partners, Inc. (MIO) provides proprietary investment products to McKinsey’s retirement plan and partners and offers independent, high-quality financial advice to McKinsey’s partners. We manage a wide array of investment vehicles with significant expertise and a long and successful track record in alternative strategies, including hedge funds and private equity. We have a multibillion-dollar portfolio of assets under management, and we manage assets for and advise only McKinsey-related clients; we do not accept outside or third-party investments.  

MIO is a values-based organization that is strongly aligned with our investors’ interests. MIO measures success as performance relative to a market-based benchmark.  

MIO, a 250+ person registered investment adviser, provides ample opportunities for somebody with an entrepreneurial drive to shine. We strive to meet the highest professional standards and build an organization that attracts, develops, and retains exceptional people. MIO is a wholly owned subsidiary of McKinsey, but our activities are kept entirely separate from those of the consulting Firm. 


Team

MIO takes a team-based approach to everything we do. Over decades, we have created distinctive investment frameworks, systems, and processes. We seek a colleague who can use those institutional capabilities to create value for our investors, and assist us in continuously improving our capabilities.

A majority of MIO’s active assets under management are invested with external third-party managers (i.e., hedge funds and other alternative investment managers). These third-party investments span a wide range of strategy areas, including equities, global macro, quantitative, multi-strategy, credit, commodities, and fixed income.

A minority of MIO’s active assets are deployed through MIO’s own in-house macro trading strategies, which are supported by MIO’s deep macroeconomic and cross-asset class market research. Our asset class coverage spans global rates and government bonds, commodities, foreign exchange, and global equity and corporate credit indices.

In both activities, the portfolio management team is leveraged by MIO’s robust proprietary analytics platforms, in-house data, and experienced support team.

Position

The SQRM will serve as a team-wide expert driving enhancements of MIO quantitative research methodologies and infrastructure. You will collaborate with various Portfolio Managers (PMs) and Investment Associates in optimizing systematic strategies, implementing rigorous back-testing, and applying quantitative approaches to a variety of investment problems. At any point in time, the SQRM will be working on a portfolio of projects, sharing their time across different asset classes. Depending on the specific project, the SQRM could be entirely or partially responsible for execution, or act as a consultant to the relevant PM.

Primary 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.

Desired background

  • Significant experience as a quant
    • 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
  • 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
  • Affinity with MIO values and priorities
    • 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.

Certain US states require MIO Partners, Inc. to include a reasonable estimate of the salary range for this role. 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.

Base salary range
$250,000$250,000 USD

MIO Partners, Inc. (MIO) is an equal opportunity employer. MIO will consider all applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.  

We are committed to protecting your privacy. Please review our Applicant Privacy Policy for a detailed explanation of how we collect, use, and protect your personal information.

 

Top Skills

Ai Tools
Derivatives Pricing
Numpy
Pandas
PyTorch
Risk Modeling
Scikit-Learn
Statistical Modeling
TensorFlow
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The Company
HQ: New York, NY
330 Employees

What We Do

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. Over time, we have expanded to support after-tax investments by McKinsey’s current and former partners, primarily by making available funds already offered in the retirement plan. Our aim was to provide partners with convenient, time-saving investment options, including access to alternative investments.

Today, we are a company of approximately 250 people managing retirement and after-tax investments for roughly 30,000 current and former McKinsey employees. A key element of our operating model is that we operate at cost, generating no profit for either MIO or McKinsey. Our incentives are aligned with those of our investors due to significant management participation in the funds.

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