Quantitative Developer

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.

Position

MIO's Portfolio Analytics Group is seeking a Quantitative Developer with exceptional quantitative development and problem-solving skills. The ideal candidate will approach risk in a structured, logical, and qualitative manner as a foundation for robust quantitative analysis and will be an effective communicator. While systems developments and maintenance will be core responsibilities, the successful candidate will exhibit the intellectual curiosity, analytical capability, and process-oriented mindset to contribute beyond pure development.

The Group

The Portfolio Analytics Group (PAG) core function is to provide decision support to the Investment team by (i) maintaining and evolving MIO's manager selection analytics and (ii) provisioning data and using data-driven analytics to create an edge in our investment processes. In addition, the group provides input on various ad-hoc analyses that support our CIO and portfolio managers in our manager selection investment process. The group also acts as the fundamental center of competence, producing routine performance and risk reports for Risk and Advisory. The PAG team co-owns MIO's attribution system, which is central to managing our investment team and systemic risks across our portfolio.

Primary responsibilities

• Enhance, support, and take ownership of existing systems and applications
• Develop and maintain systems which require ongoing troubleshooting and quality assurance
• Ensure consist and accurate risk and performance data published by the Risk team
• Work on multiple projects simultaneously, including new development, quality assurance, and ad hoc data analysis
• Create associated documentation of designed frameworks, systems, data, and report generation
• Provide recommendations on improved calculations, methodologies, systems, and automate processes

• Bachelor's degree in Electrical Engineering, Computer Science, Math, Physics, Economics, Finance, or Operations Research
• Graduate degree in Finance or quantitative discipline is desirable; equivalent practical professional experience is also suitable
• 1-3 professional experience with exposure to risk or asset management exposure
• FRM or CFA level 1 (or higher) preferred, particularly for candidates without prior risk or asset management experience
• Strong programming skills, especially with Python (including Pandas and NumPy)
• Solid understanding of data base design and SQL; familiar with Excel/VBA or Tableau is a plus
• Experience with Risk Metrics preferred
• Self motivated with an ownership mindset
• Strong attention to detail with a natural curiosity and ability to dive deep into complex problems