Trading Strategist

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.

• Employ quantitative methods to optimize and innovate on trade implementation processes
• Research and analyze ways to enhance existing algorithms (eg: VWAP, peg), build models (market impact, optimal schedule), and develop short-term signals (eg: volume, price, fair value)
• Work closely with traders to translate research findings into practical algorithmic improvements
• Develop and test market heuristics to inform and monitor algo wheels and execution optimization
• Perform systematic transaction cost analysis and work with traders to identify areas of high slippage/cost and make data-driven adjustments to mitigate inefficiencies

• Degree from a top-tier university in quantitative or scientific discipline
• 5-10 years of experience in quantitative research/trading
• Experience with quantitative modeling and optimization techniques for execution algorithms
• Experience in one or more of the following asset classes (Commodities, FX, Fixed Income, Equities)
• Strong written and verbal communication skills
• Ability to assess, prioritize and execute multiple tasks under pressure

• Exceptional analytical and problem-solving skills, with the ability to interpret complex data and translate it actionable insights
• Strong quantitative skills, detail orientation, and proficiency in Python programming