To be considered for this position, applications and resumes are accepted only through our careers site by directly applying to the posted job. We do not accept unsolicited resumes or sales solicitations from staffing agencies. Any OCC employee wishing to submit a referral must do so through their Workday account. Any resume submitted outside of an active job posting will not be considered for employment.
About Us
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 2 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
This role is responsible for one or more functions within Quantitative Risk Management (QRM) to develop and maintain risk models for margin, clearing fund and stress testing: model analytics and performance monitoring; model prototyping and testing; and model implementation. This role will collaborate with other quantitative analysts, business users, data & technology staff, and model validation colleagues to implement new models and enhance existing models.
Responsibilities
Develop models for pricing, margin risking and stress testing of financial products and derivatives
Design, implement and maintain model prototypes, model library and model testing tools using best industry practices and innovations
Implement new models into model library and enhance existing models
Write and review documentations (whitepapers) for the models, model prototypes and model implementation
Perform model performance testing, including portfolio back-testing using historical data
Review implementation of models and algorithms focusing on requirement verification, coding, and testing quality
Conduct comprehensive quality assurance testing on model library including constructions of test cases, automation of model unit testing and creations of reference models if needed
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 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
Supervisory Responsibilities
None
Qualifications & Experience
[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: good understanding of markets and financial derivatives in equities, interest rate, and commodity products
[Required] Strong programing skills. Able to read and/or write code using a programming language (e.g., Java, C++, Python, R, Scala, etc.) in a collaborative software development setting: Model development and prototyping requires advanced development skills in Python and database manipulation
[Required] Model implementation requires advanced Java programming ability and a demonstrated ability in developing and maintaining enterprise level software
[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] Proficiency in technical and scientific documentation (e.g., white papers, user guides, etc.)
[Preferred] Experience in Agile/SCRUM framework
Technical Skills & Background
[Required] Proficiency in database technology and query languages (such as SQL)
[Preferred] Non-relational DB and other Big Data, cloud-based computing experience
[Required] Proficiency in Java is required for model implementation (Java 8 or later)
[Required] Experience in a scripting language such as Python, R or MATLAB
[Required] Experience with numerical libraries and/or scientific computing |[Preferred] Experience with numerical optimizers using NAG, Matlab or similar| [Required] Experience with automated quality assurance frameworks is required (e.g., Junit, TestNG, Selenium, etc.) for model testing
[Required] Experience with code repository, build and deployment tools (e.g., Git, GitHub, Jenkins)
[Required] Software design: effective application of design patterns, expertise in object-oriented design
[Preferred] Experience with high performance computing
[Required] Experience in office technology such as PowerPoint, Confluence, Latex, Word, and Excel
Certifications
[Preferred] FRM, CFA, etc.
Education & Training
[Required] Master’s degree or equivalent in a quantitative field such as computer science, mathematics, physics, finance/financial engineering
[Preferred] PhD
5-7 years of experience in quantitative areas in finance and/or development experience in model implementation and testing
About Us
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.
Benefits
A highly collaborative and supportive environment developed to encourage work-life balance and employee wellness. Some of these components include:
Visit https://www.theocc.com/careers/thriving-together for more information.
Compensation
Salary Range
$128,800.00 - $230,200.00Incentive Range
8% to 15%This position is eligible for an annual discretionary incentive compensation award, for which the target range is listed above (see Incentive Range). The amount of such award, if any, will be based on various factors, including without limitation, both individual and company performance.
Step 1
When you find a position you're interested in, click the 'Apply' button. Please complete the application and attach your resume.
Step 2
You will receive an email notification to confirm that we've received your application.
Step 3
If you are called in for an interview, a representative from OCC will contact you to set up a date, time, and location.
For more information about OCC, please click here.
OCC is an Equal Opportunity Employer
Job details are sourced from the employer's original posting.
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