About this role
Introduction to Multi-Asset Strategies & Solutions
The Multi-Asset Strategies & Solutions (MASS) team is the investment group at the heart of BlackRock's portfolio construction, asset allocation, and active management ecosystem. MASS draws on the full toolkit of BlackRock's index, factor, and alpha-seeking investment capabilities to deliver precise investment outcomes and cutting-edge alpha insights. MASS constructs active asset allocation strategies and whole portfolio solutions across a wide spectrum of commingled funds, separate accounts, model portfolios, and outsourcing solutions in the wealth and institutional channels. Currently, MASS manages over $1 trillion in assets and has a strong presence in the United States, Europe, and Asia Pacific region. MASS is committed to attracting, developing and retaining a diverse and inclusive workforce. We are passionate about creating and promoting an environment where all employees are valued and respected. Consistent with our diverse client base, we recognize the benefit that diversity of thought brings to the success of our business.
Position and Business Overview
BlackRock Mexico is seeking a highly quantitative and market-driven Associate to contribute meaningfully to the research, development and evolution of multi-asset portfolios within the MASS Mexico platform.
This role is designed for an experienced professional (3–5 years) who combines strong statistical foundations, programming capability and solid understanding of financial markets. The Associate will operate within a quantamental framework, where systematic models, discretionary macro views and emerging AI-driven tools jointly inform portfolio construction.
The position requires intellectual rigor, technical ownership and the ability to bridge quantitative outputs with real investment decisions.
Key Responsibilities
Quantitative Model Development & Ownership
• Design, implement and enhance quantitative models across asset classes.
• Ensure statistical robustness, economic intuition and out-of-sample discipline in model construction.
• Apply probability theory, time series analysis and econometric techniques to signal generation and risk modeling.
• Maintain production-quality Python research and portfolio tools with strong documentation and reproducibility standards.
• Perform backtesting validation, sensitivity analysis and robustness checks.
AI & Advanced Analytics Integration
• Contribute to the incorporation of AI-driven methodologies and intelligent agents into research workflows.
• Evaluate the statistical validity and economic consistency of AI-generated insights.
• Help integrate machine learning or LLM-based tools into portfolio research, signal enhancement and process automation.
• Ensure proper governance, testing and interpretability of AI-supported models.
Portfolio Construction & Risk Analysis
• Support and contribute to asset allocation, portfolio optimization and risk budgeting decisions.
• Conduct performance attribution, factor analysis and scenario stress testing.
• Translate quantitative outputs into actionable insights for PM discussions.
• Engage in quantamental dialogue combining systematic signals with macro and market perspectives.
Skills & Qualifications
Required
• Bachelor's degree in a highly quantitative field (Mathematics, Statistics, Engineering, Actuarial Science, Physics, Economics with strong quantitative focus or similar).
• 3–5 years of relevant experience in quantitative research, asset management, portfolio analytics or related fields.
• Strong command of probability theory, statistics and quantitative reasoning.
• Experience working with time series data and model validation frameworks.
• Proficiency in Python for data analysis, modeling and research workflows.
• Solid understanding of financial markets and portfolio construction principles.
• Familiarity with machine learning concepts or AI applications in finance.
• Active progress toward the CFA designation (Level I passed at minimum; Level II candidate or above preferred).
• High intellectual curiosity, strong ownership mindset and attention to detail.
• Professional fluency in English and Spanish.
Preferred
• Progress toward or completion of SOA, CQF or comparable quantitative/investment/programming credentials.
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment – the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.
BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.