Senior Quantitative Research Manager

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MIO Partners Inc. (MIO) is a global, world-class investment and advisory institution with a decades-long track record of performance for our clients through multiple market cycles. Our team of approximately 250 people provides asset management and advisory services to current and former McKinsey employees. We manage more than $20 billion in assets across public and private markets. We are headquartered in New York City, with offices in Atlanta, Georgia; West Palm Beach, Florida; Germany; Hong Kong; Singapore; Spain; and the UK. We provide objective advice on long-term wealth building and create distinctive investment products that deliver value relative to market-based benchmarks. We operate two core lines of business: (i) our advisory team provides advice, wealth planning, and retirement services to approximately 2500 individual clients, and (ii) our investments business consists of alpha-seeking alternative investment strategies across public and private markets. A defining characteristic of our business is our perfect alignment with our clients. Our extraordinary mandate as a boutique investment and advisory firm, grounded in a core set of principles, enables us to create unique products and services while keeping our clients' interests front and center. Much of our success can be attributed to our insatiable intellectual curiosity. We seek to hire individuals who are passionate about our mission and values, and who always strive toward excellence. We care about fostering a culture of continual improvement, as individuals and as an organization, and are excited to work with individuals who have a similar growth mindset. We are proud to have a culture that promotes the highest ethical standards and investor-focused values, alongside a commitment to diversity and inclusivity and a highly collaborative work environment. MIO (and related entities) is an independent, indirect, and wholly owned subsidiary of McKinsey & Company. 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

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