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 is seeking a senior, hands-on data professional to lead the execution of our market data strategy and advance our research data platform. This role sits on the Research & Investment Technology team and reports directly to the Director of Research & Investment Technology.
Operating at the intersection of commercial strategy, data engineering, and investment workflows, this role requires a blend of technical depth, business insight, and vendor expertise.
As an individual contributor, you will partner closely with engineering leadership to translate strategy into execution. You will work cross-functionally with investment, technology, and legal teams to deliver high-quality, scalable data solutions that support research and trading.
This hire will own vendor strategy and data sourcing while remaining hands-on with data analysis, playing a key role in shaping how market data is acquired, modeled, and consumed across the organization.
Primary responsibilities
Data Analysis & Data Quality Management (30%)
- Perform hands-on data analysis using Python and SQL to support investment and operational use cases
- Identify, investigate, and remediate data quality issues across datasets and vendors
- Conduct root cause analysis and partner with engineering teams to implement scalable solutions that improve data integrity
- Define data quality rules in partnership with investment teams and establish monitoring and reporting frameworks
Business Analysis (30%)
- Partner with investment, risk, and middle office teams to gather and translate complex business requirements into data solutions
- Develop a deep understanding of workflows across asset classes to identify data gaps and inefficiencies
- Produce clear functional specifications and drive implementation in collaboration with technology teams
- Serve as a bridge between business stakeholders and engineering
Program & Project Management (20%)
- Lead cross-functional data initiatives from inception through delivery across market data and research technology teams
- Define project scope, timelines, and success metrics
- Coordinate across teams to ensure timely, high-quality execution
- Drive prioritization and manage dependencies across multiple workstreams
- Manage Jira boards, sprint planning, and facilitate daily stand-ups
Market Data Vendor Management (20%)
- Manage relationships with key data providers, including Bloomberg, LSEG, ICE Data Services, and others
- Support contract negotiations, renewals, and cost optimization efforts
- Monitor data usage, licensing compliance, and entitlements
- Identify new data vendors; lead proof-of-concept initiatives
- Contribute to vendor strategy, including consolidation and rationalization efforts
- Establish and manage vendor data budgeting and spend tracking
Desired background
- 8+ years of experience in data, market data, or related roles within financial services
- Strong hands-on experience with data analysis using Python and SQL
- Proven ability to operate as a senior individual contributor in a fast-paced, high-performance environment
- Solid experience in business analysis, with the ability to translate complex requirements into scalable data solutions
- Experience leading or contributing to cross-functional data initiatives and programs
- Strong understanding of financial markets and asset classes, including commodities, fixed income, equity indices, and digital assets
- Experience in a multi-strategy hedge fund or similar buy-side environment preferred
- Experience working with or alongside market data vendors such as Bloomberg, LSEG, and ICE Data Services
- Familiarity with market data products and infrastructure, including Bloomberg (BPIPE, BVAL), back-office data feeds, and concepts such as licensing, entitlements, and data governance
- Experience working with data platforms, APIs, and modern data architecture
- Hands-on experience with AWS cloud environments
Key Competencies
- Hands-on, execution-oriented mindset
- Strong analytical and problem-solving skills
- Ability to balance commercial, technical, and business priorities
- Excellent stakeholder management and communication skills
- High degree of ownership and accountability
Applicants must be authorized to work in the U.S. without the need for employer-sponsored work authorization, now or in the future.
MIO has adopted a flexible, hybrid model that supports a blend of in-office and remote work. Our office is in New York City.
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.
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.
Skills Required
- 8+ years of experience in data, market data, or related roles within financial services
- Strong hands-on experience with data analysis using Python and SQL
- Proven ability to operate as a senior individual contributor in a fast-paced, high-performance environment
- Solid experience in business analysis, with the ability to translate complex requirements into scalable data solutions
- Experience leading or contributing to cross-functional data initiatives and programs
- Strong understanding of financial markets and asset classes, including commodities, fixed income, equity indices, and digital assets
- Experience in a multi-strategy hedge fund or similar buy-side environment preferred
- Experience working with or alongside market data vendors such as Bloomberg, LSEG, and ICE Data Services
- Familiarity with market data products and infrastructure, including Bloomberg, back-office data feeds, and concepts such as licensing, entitlements, and data governance
- Experience working with data platforms, APIs, and modern data architecture
- Hands-on experience with AWS cloud environments
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.
