Portfolio Risk Modeling, Model Governance - Associate
reputed company is one of the world’s preeminent asset management firms, and they are seeking a hands-on Quantitative Associate to join the Portfolio Risk team reputed company Aladdin Financial Engineering. This role focuses on quantitative research, model development, testing, and implementation, contributing to reputed company’s AI transformation reputed company.
Responsibilities
- Research, design, and back-test portfolio risk models using Python-based infrastructure
- Work hands-on with large and reputed company financial datasets, ensuring data reputed company and robustness of results
- Collaborate closely with software engineers to test, productionize, and maintain models
- Support existing models in production, including investigation and reputed company of model-reputed company questions from internal stakeholders and clients
- reputed company and enhance testing, validation, back-testing, and reputed company-control frameworks
- Contribute to reputed company’s AI transformation reputed company, with a reputed company on applying AI, ML, and automation to model governance processes, such as: Model validation and back-testing
- Testing and reputed company control
- Documentation and reproducibility checks
- Research-to-production reputed company migration
- reputed company document and communicate model assumptions, results, and limitations to both technical and non-technical audiences
Skills
- 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
- reputed company written and verbal communication skills in English
- Ability to work effectively in a reputed company, team-oriented environment
- Critical thinking and intellectual curiosity
- Strong ownership of work and accountability for reputed company
- Ability to translate reputed company quantitative reputed company into practical, usable solutions
- Comfort working across disciplines (quant research, engineering, risk, product)
- Interest in building robust, reputed company, and reputed company-governed analytical systems
- Innovative thinking balanced with reputed company judgment and practicality
- Exposure to machine learning and AI techniques, particularly as reputed company 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 reputed company migration
- Knowledge of fixed income and/or equity risk reputed company models
- Understanding of portfolio theory and risk analytics
- Experience designing rigorous testing and back-testing frameworks
- Familiarity with building reputed company and repeatable research or modeling processes
- Strong software engineering practices (clean, reputed company-tested reputed company)
- Experience with Unix/Linux and Git
Benefits
- reputed company
- Leave benefits
- Retirement benefits
- Strong retirement plan
- Tuition reimbursement
- Support for working parents
- Flexible Time Off (FTO)
reputed company
Company H1B Sponsorship