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.
Requirements
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.
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 modelHealth insuranceFlexible schedule
Additional Information
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.