BlackRock · 19 hours ago
Portfolio Risk Modeling - Associate
BlackRock is one of the world’s preeminent asset management firms, providing global investment management and risk management services. The Portfolio Risk Modeling Associate will focus on quantitative research, model development, and implementation, contributing to the team’s AI transformation journey and ensuring data quality and robustness of financial models.
Asset ManagementCrowdfundingFinancial ServicesFinTechReal Estate Investment
Responsibilities
Research, design, and back-test portfolio risk models using Python-based infrastructure
Work hands-on with large and complex financial datasets, ensuring data quality and robustness of results
Collaborate closely with software engineers to test, productionize, and maintain models
Support existing models in production, including investigation and resolution of model-related questions from internal stakeholders and clients
Develop and enhance testing, validation, back-testing, and quality-control frameworks
Contribute to the team’s AI transformation journey, with a focus on applying AI, ML, and automation to model governance processes, such as:
Model validation and back-testing
Testing and quality control
Documentation and reproducibility checks
Research-to-production code migration
Clearly document and communicate model assumptions, results, and limitations to both technical and non-technical audiences
Qualification
Required
Master's degree (e.g., MFE) or PhD in a quantitative field such as Finance, Economics, Mathematics, Statistics, Computer Science, or Engineering
Strong hands-on programming experience, primarily in Python (R a plus)
Experience working with large datasets and applying statistical, econometric, or quantitative techniques
Solid understanding of financial markets, financial products, and basic economics
Strong analytical and problem-solving skills with high attention to detail
Clear written and verbal communication skills in English
Ability to work effectively in a collaborative, team-oriented environment
Critical thinking and intellectual curiosity
Strong ownership of work and accountability for quality
Ability to translate complex quantitative ideas into practical, usable solutions
Comfort working across disciplines (quant research, engineering, risk, product)
Interest in building robust, scalable, and well-governed analytical systems
Innovative thinking balanced with sound judgment and practicality
Preferred
Exposure to machine learning and AI techniques, particularly as applied to financial or time-series data
Experience applying AI, ML, or automation to model lifecycle and governance workflows, such as validation, back-testing, testing, monitoring, documentation, or code migration
Knowledge of fixed income and/or equity risk factor models
Understanding of portfolio theory and risk analytics
Experience designing rigorous testing and back-testing frameworks
Familiarity with building scalable and repeatable research or modeling processes
Strong software engineering practices (clean, well-tested code)
Experience with Unix/Linux and Git
Benefits
Annual discretionary bonus
Healthcare
Leave benefits
Retirement benefits
Strong retirement plan
Tuition reimbursement
Comprehensive healthcare
Support for working parents
Flexible Time Off (FTO)
Company
BlackRock
BlackRock is an investment company that offers its services to institutions, intermediaries, foundations, and individual investors.
H1B Sponsorship
BlackRock has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (18)
2024 (34)
2023 (8)
2022 (37)
2021 (31)
2020 (27)
Funding
Current Stage
Public CompanyTotal Funding
$6.59BKey Investors
Ariel Yehezkel
2025-06-20Post Ipo Equity· $0.02M
2025-03-27Post Ipo Debt· $1.08B
2024-07-17Post Ipo Debt· $2.5B
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