Director, Quantitative Risk Management
ExternalFull-timeRemote2w ago
CI/CDComplianceConfluenceData AnalysisDocumentationExcel
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About the role
The Options Clearing C
Responsibilities
- Primary Duties and Responsibilities:
- To perform this job successfully, an individual must be able to perform each primary duty satisfactorily.
- Direct, lead and review development and implementation of models for pricing, margin risk and stress testing of financial products and derivatives |Oversee analysis of new products and drive their implementation at OCC
- Research and present model alternatives based on the academic literature, industry best practices, data analysis and model prototyping
- Produce high quality whitepapers and technical documentation following QRM's procedures and templates
- Develop standards, procedures and tools for model performance monitoring and communicate results to peers and leadership
- Lead and direct implementation of the model development tools in QRM supporting model analysis and backtesting
- Lead and direct implementation of the model analytics in the QRM Library
- Partner with IT and other departments delivering QRM analytics to production
- Provide production support, participate in troubleshooting and analysis of model, system and data issues
- Lead remediation of Model Validation or regulatory findings
- Prepare and present materials supporting management and regulatory inquiries
- Provide intellectual leadership promoting innovation and learning
- Supervisory Responsibilities:
- Manage a team of finacial engineers/model developers
Requirements
- The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions.
- [Required] Financial mathematics (derivatives pricing models, stochastic calculus, statistics and probability theory, advanced linear algebra)
- [Required] Econometrics, data analysis (e.g., time series analysis, GARCH, fat-tailed distributions, copula, etc.) and machine learning techniques
- [Required] Numerical methods and optimization; Monte Carlo simulation and finite difference techniques
- [Required] Risk management methods (value-at-risk, expected shortfall, stress testing, backtesting, scenario analysis)
- [Required] Financial products knowledge: seasoned level in understanding of markets and financial derivatives in equities, interest rate, and commodity products
- [Required] Seasoned level in programing skills. Advanced proficiency in using a programming language (e.g., Java, C++, Python, R, MATLAB, etc.) in a collaborative software development setting. Model development and prototyping requires advanced development skills in Python and data mining
- [Required] Strong problem-solving skills: be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources
- [Required] Ability to challenge model methodologies, model assumptions, and validation approach
- [Required] Seasoned level in technical and scientific documentation (e.g., whitepapers, user guides, etc.)
- Technical Skills:
- [Required] Expert in database technology, query languages (such as SQL), and efficient storage and serialization protocols
- [Required] For model development and prototyping role: expert in a scripting language such as Python, R or MATLAB
- [Required] Experience with numerical libraries and/or scientific computing including numerical optimizers (e.g. NAG, MATLAB)
- [Required] Experience with automated testing frameworks (e.g., Junit, TestNG, PyTest, etc.)
- [Required] Experience with CI/CD and DevOps tools (e.g., Git, GitHub and various profiling and telemetry tools) is required for model implementation and application development.
- [Required] Experience with high performance computing, distributed computation engines and cloud computing
- [Required] Advanced proficiency in office technology such as PowerPoint, Confluence, Latex, Word, and Excel
- Education and/or Experience:
- [Required] Master's degree or equivalent in a quantitative field such as computer science, mathematics, physics, finance/financial engineering
- [Preferred] PhD degree in one of the above fields
- [Required] 10+ years of experience of quantitative research and/or model implementation in finance
- [Required] 5+ years of experience in people management
- Certificates or Licenses:
- [Preferred] FRM, CFA, etc.
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Company Intel
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