Senior Associate, Quantitative Risk Management (Development) at OCC
Who We Are
The Options Clearing Corporation (OCC) is the world's largest equity derivatives clearing organization. Founded in 1973, OCC is dedicated to promoting stability and market integrity by delivering clearing and settlement services for options, futures and securities lending transactions. As a Systemically Important Financial Market Utility (SIFMU), OCC operates under the jurisdiction of the U.S. Securities and Exchange Commission (SEC), the U.S. Commodity Futures Trading Commission (CFTC), and the Board of Governors of the Federal Reserve System. OCC has more than 100 clearing members and provides central counterparty (CCP) clearing and settlement services to 19 exchanges and trading platforms. More information about OCC is available at www.theocc.com.
What We Offer
A highly collaborative and supportive environment developed to encourage work-life balance and employee wellness. Some of these components include:
A hybrid work environment, up to 3 days per week of remote work
Tuition Reimbursement to support your continued education
Student Loan Repayment Assistance
Technology Stipend allowing you to use the device of your choice to connect to our network while working remotely
Generous PTO and Parental leave
Competitive health benefits including medical, dental and vision
What You’ll Do
The Senior Associate supports the development and maintenance of risk models for margin, clearing fund and stress testing: model analytics and performance monitoring; model prototyping and testing; and model implementation. The Senior Associate collaborates with other quantitative analysts, business users, data & technology staff, and model validation colleagues to implement new models and enhance existing models.
Primary Duties and Responsibilities:
To perform this job successfully, an individual must be able to perform each primary duty satisfactorily.
Support the development of models for pricing, margin and stress testing of financial products and derivatives.
Support the design, implementation and maintenance of model prototypes, model library and model testing tools using best industry practices and innovations.
Support the implementation of new models into model library and enhance existing models.
Review documentations (whitepapers) for the models, model prototypes and model implementation.
Review implementation of models and algorithms focusing on requirement verification, coding, and testing quality.
Support comprehensive quality assurance testing on model library including constructions of test cases, automation of model unit testing and creations of reference models if needed.
Present test plans and test results review to peers, model validators and model developers and obtain their feedback.
Participate in model code reviews, model release testing (including margin impact analysis and baseline support and troubleshooting during model library integration with production applications) and production support.
Support the launch of new products.
Provide production support for the numerical libraries and risk management systems
Provide integration support to the application consuming QRM libraries
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.
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.
Basic quantitative skills, ability to demonstrate good understanding in the following technical areas:
Financial mathematics (derivatives pricing models, stochastic calculus, statistics and probability theory, advanced linear algebra)
Econometrics, data analysis (e.g., time series analysis, GARCH, fat-tailed distributions, copula, etc.) and machine learning techniques
Numerical methods and optimization; Monte Carlo simulation and finite difference techniques
Risk management methods (value-at-risk, expected shortfall, stress testing, backtesting, scenario analysis)
Financial products knowledge: good understanding of markets and financial derivatives in equities, interest rate, and commodity products.
Basic programing skills: able to read and/or write code using a programming language and/or a scripting language (e.g., Java, C++, Python, R, Scala, shell, etc.) in a collaborative software development setting.
Problem-solving skills: Be able to identify a problem's possible source, conduct study and provide reasoning in estimating severity and impact.
Ability to challenge model methodologies, model assumptions, and validation approach.
Experience in technical and scientific documentation (e.g., white papers, user guides, etc.).
Experience in Agile/SCRUM framework is desirable.
Good interpersonal, verbal and written communication skills. Able to explain highly technical information to different audiences with varying levels of technical expertise.
Business-oriented and responsible.
A good team player.
Experience in database technology and query languages (such as SQL). Non-relational DB and other Big Data, cloud-based computing experience is a plus.
Experience in Java is required for model implementation (Java 8 or later).
Experience in a scripting language such as Python, R or MATLAB is required.
Experience with numerical libraries and/or scientific computing is required.
Experience with automated testing frameworks is preferred (e.g., Junit, TestNG, PyTest, etc.).
Experience with code repository, build and deployment tools (e.g., Git, GitHub, Jenkins).
Experience with software design: effective application of design patterns, expertise in object-oriented design is required for model implementation.
Experience with high performance computing is a plus.
Experience in office technology such as PowerPoint, Confluence, Latex, Word, and Excel.
Education and/or Experience:
Master’s degree or equivalent is required in a quantitative field such as computer science, mathematics, physics, finance/financial engineering.
One to three years of experience in quantitative areas in finance and/or development experience in model implementation and testing.
Certificates or Licenses:
FRM, CFA, etc., are desirable, but not required.