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.

POSITION

MIO is seeking a Trading Strategist to join the Investment team and report directly to our Execution Trading Manager.
Adhering to MIO best practices, this individual will develop expertise across multiple asset classes and support optimization of our execution strategies through quantitative analysis. The successful candidate will be energetic, detail-oriented, and proactive in partnering with the execution desk to examine and refine trade implementation.
The Investment team functions in a highly collaborative and intellectually challenging environment. Our Portfolio Managers oversee our research-driven approach to the financial markets, with a focus on mathematical and scientific rigor and standards. The Trading Strategist is expected to become an integral part of the trading and research-focused team, contributing to ad hoc initiatives and projects as required.

EXPERIENCE

• 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

TECHNICAL SKILLS

• 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
  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

• 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