Options Clearing Corporation

Lead Associate Principal, Quantitative Risk Management

Options Clearing Corporation$128K — $230K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree or equivalent in a quantitative field (computer science, mathematics, physics, finance) required
  • 3+ years experience in quantitative finance or model implementation preferred
  • Strong knowledge of financial math, especially derivatives pricing and risk analysis
  • Proficiency in econometrics and machine learning techniques
  • Familiarity with programming languages like Python, R, or MATLAB
  • Ability to perform and communicate complex quantitative analysis
  • Experience in technical documentation (white papers, user guides)

Responsibilities

  • Develop models for financial products and derivatives pricing, margin risk, and stress testing
  • Implement and maintain model prototypes and testing tools following industry best practices
  • Conduct model performance testing and back-testing using historical data
  • Review and enhance model documentation and validation processes
  • Participate in quality assurance testing for the model library
  • Collaborate with risk managers and cross-functional teams on quantitative analysis
  • Provide technical support and troubleshoot model-related issues

Benefits

  • Hybrid work environment with up to 2 remote work days per week
  • Tuition reimbursement and student loan repayment assistance
  • Technology stipend for remote work connectivity
  • Generous PTO and parental leave
  • 401k employer match
  • Comprehensive health benefits (medical, dental, vision)
Full Job Description
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.

Summary

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


Benefits

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
  • 401k Employer Match
  • Competitive health benefits including medical, dental and vision


Visit https://www.theocc.com/careers/thriving-together for more information.

Compensation
  • The salary range listed for any given position is exclusive of fringe benefits and potential bonuses. If hired at OCC, your final base salary compensation will be determined by factors such as skills, experience and/or education.
  • In addition, we believe in the importance of pay equity and consider internal equity of our current team members as part of any final offer.
  • We typically do not hire at the maximum of the range in order to allow for future and continued salary growth. We also offer a substantial benefits package as noted on www.theocc.com/careers
  • All employees may be eligible for a discretionary bonus. Discretionary bonuses are based on various factors, including, but not limited to, company and individual performance and are not guaranteed.


Salary Range
$128,800.00 - $230,200.00

Incentive 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.

About Options Clearing Corporation

The Options Clearing Corporation (OCC) is a clearinghouse for equity options and futures options. It was founded in 1973 and is the world's largest equity derivatives clearing organization. OCC operates under the jurisdiction of the U.S. Securities and Exchange Commission (SEC) and the U.S. Commodity Futures Trading Commission (CFTC). The company provides central counterparty (CCP) clearing and settlement services to 16 exchanges and trading platforms for options, financial futures, security futures, and securities lending transactions. OCC is owned by its member firms, which include most of the major options trading firms in the United States. The company's mission is to ensure that the markets it serves are stable, transparent, and fair, and to protect investors and the public interest.
Learn more about Options Clearing Corporation
Size
1,050 employees
Industry

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