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OCC

Clearinghouse offering risk management for derivatives

Lead Associate Principal - Quantitative Risk Management

Quantitative RiskConfirmed live in the last 24 hours
Full-timeChicago, IL, USA

About the Job

Requirements

  • Master’s degree or equivalent in a quantitative field such as computer science, mathematics, physics, finance/financial engineering.
  • 5–7 years of experience in quantitative areas in finance and/or development experience in model implementation and testing.
  • Knowledge of financial mathematics, including derivatives pricing models, stochastic calculus, statistics and probability theory, and advanced linear algebra.
  • Knowledge of econometrics, data analysis including time series analysis, GARCH, fat-tailed distributions, and copulas, and machine learning techniques.
  • Knowledge of numerical methods and optimization, Monte Carlo simulation, and finite difference techniques.
  • Knowledge of risk management methods including value-at-risk, expected shortfall, stress testing, backtesting, and scenario analysis.
  • Good understanding of financial markets and derivatives in equities, interest rate, and commodity products.
  • Strong programming skills, including the ability to read and/or write code in a programming language such as Java, C++, Python, R, or Scala in a collaborative software development setting.
  • Advanced Python development and database manipulation skills for model development and prototyping.
  • Advanced Java programming ability and demonstrated experience developing and maintaining enterprise-level software for model implementation.
  • Ability to identify a problem’s source, severity, and impact accurately and determine possible solutions and needed resources.
  • Ability to challenge model methodologies, assumptions, and validation approaches.
  • Proficiency in technical and scientific documentation, such as white papers and user guides.
  • Proficiency in database technology and query languages such as SQL.
  • Proficiency in Java 8 or later for model implementation.
  • Experience with a scripting language such as Python, R, or MATLAB.
  • Experience with numerical libraries and/or scientific computing.
  • Experience with automated quality assurance frameworks such as JUnit, TestNG, or Selenium for model testing.
  • Experience with code repository, build, and deployment tools such as Git, GitHub, and Jenkins.
  • Experience applying design patterns and expertise in object-oriented design.
  • Experience with office technology including PowerPoint, Confluence, LaTeX, Word, and Excel.

Responsibilities

  • Develop models for pricing, margin risking, and stress testing financial products and derivatives.
  • Design, implement, and maintain model prototypes, the model library, and model testing tools using industry best practices and innovations.
  • Implement new models into the model library and enhance existing models.
  • Write and review model documentation, including white papers, for models, prototypes, and implementations.
  • Perform model performance testing, including portfolio back-testing using historical data.
  • Review model and algorithm implementations, focusing on requirements verification, coding, and testing quality.
  • Conduct comprehensive quality assurance testing on the model library, including constructing test cases, automating model unit testing, and creating reference models when needed.
  • Participate in model code reviews and model release testing, including margin impact analysis, baseline support, and troubleshooting during model library integration with production applications; provide production support.
  • Support the launch of new products.
  • Provide quantitative analysis and support to risk managers on pricing, margin, and risk calculations.
  • Communicate model analysis to professionals across OCC and collaborate with cross-functional departments.

Desired Qualifications

  • Experience with the Agile/SCRUM framework.
  • Experience with non-relational databases, other Big Data technologies, and cloud-based computing.
  • Experience with numerical optimizers using NAG, MATLAB, or similar tools.
  • Experience with high-performance computing.
  • FRM, CFA, or similar certification.
  • PhD.

About the Company

OCC

Clearinghouse offering risk management for derivatives

OCC clears and settles trades in the derivatives market, acting as a central counterparty that guarantees completion of transactions and manages risk. It serves clients including clearing members and exchanges, handling standard options, stock loans, and futures by processing trades, margining, and settlement through its systems. The OCC earns fees based on trade volume and risk management activities, and it emphasizes secure technology like its MyOCC portal to protect authorized users. What sets OCC apart is its focus on being a dedicated, regulated clearinghouse with robust risk controls and technology infrastructure to support the safety and efficiency of derivatives markets. Its goal is to maintain the stability and integrity of financial markets by reducing counterparty risk and ensuring smooth clearing and settlement of trades.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
Not listed
Headquarters
Chicago, IL
Founded
1973

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