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Lead Associate Principal, Quantitative Risk Management

What You'll Do:

The Lead Associate Principal 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. The Lead Associate Principal will collaborate 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 assigned essential duty satisfactorily:

  • 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:

The requirements listed are representative of the knowledge, skill, and/or ability required.  A candidate need not have proficiency in all areas.  Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions.

Strong quantitative skills, ability to demonstrate deep 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: e.g. 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.

  • Model development and prototyping requires development skills

  • Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources.

  • Ability to challenge model methodologies, model assumptions, and validation approach.

  • Proficiency in technical and scientific documentation (e.g., white papers, user guides, etc.).

Technical Skills:

  • Proficiency 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 a scripting language such as Python, R or MATLAB.

  • Experience in office technology such as PowerPoint, Confluence, 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. PhD preferred.

  • 7+ years of experience in quantitative areas in finance and/or development experience in model implementation and testing.  Experience in risk management and trading preferred.

Certificates or Licenses:

  • FRM, CFA, etc are desirable, but not required

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:

  • 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

$123,500.00 - $219,100.00

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.

OCC is an Equal Opportunity Employer

Average salary estimate

$171300 / YEARLY (est.)
min
max
$123500K
$219100K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Lead Associate Principal, Quantitative Risk Management, OCC

The Lead Associate Principal, Quantitative Risk Management at the Options Clearing Corporation (OCC) is an exciting opportunity to make a substantial impact in the finance industry! In this role, you'll dive deep into the world of quantitative risk management, developing and maintaining sophisticated risk models for margin, clearing funds, and stress testing. You'll collaborate with a talented team of quantitative analysts, business users, and technology staff, bringing new models to life and enhancing existing ones. Imagine employing your strong analytical skills and creativity to design and implement models that support financial decision-making, pricing, and risk calculations. You’ll also engage in performance monitoring, prototype testing, and documentation creation, ensuring that best practices are followed consistently. It’s all about balance here - from developing insightful solutions to addressing challenges with a problem-solving mindset. At OCC, you’ll be part of a highly collaborative environment that believes in employee wellness and work-life balance. With generous PTO, tuition reimbursement, and a hybrid work model, they truly want their staff to thrive both professionally and personally. If you possess a Master’s degree or higher in a quantitative field along with at least seven years of relevant experience, and you’re eager to work in a dynamic setting where your expertise in financial mathematics and risk management can shine, the Lead Associate Principal position at OCC could be the perfect fit for you!

Frequently Asked Questions (FAQs) for Lead Associate Principal, Quantitative Risk Management Role at OCC
What are the primary responsibilities of a Lead Associate Principal in Quantitative Risk Management at OCC?

As a Lead Associate Principal in Quantitative Risk Management at OCC, you'll be tasked with developing models for pricing, margin risk, and stress testing of financial products. Your role involves crafting model prototypes, conducting performance testing, and collaborating with various teams to ensure the accuracy and effectiveness of the models. You'll also write documentation and support the launch of new products.

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What qualifications are necessary for the Lead Associate Principal position at OCC?

To qualify for the Lead Associate Principal position in Quantitative Risk Management at OCC, candidates should hold a Master’s degree in a quantitative field, with a PhD preferred. A minimum of seven years of experience in quantitative finance or risk management is essential, along with strong problem-solving skills and proficiency in financial modeling techniques.

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How important are technical skills for the Lead Associate Principal role at OCC?

Technical skills are crucial for the Lead Associate Principal position at OCC. Candidates should be proficient in database technologies and scripting languages such as SQL, Python, or R. A solid understanding of financial products and risk management techniques is also necessary to develop effective risk models.

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What does a typical workday look like for a Lead Associate Principal at OCC?

A typical workday for a Lead Associate Principal in Quantitative Risk Management at OCC involves designing and implementing risk models, collaborating with team members across departments, performing model testing and validation, and participating in code reviews. You'll also engage in quality assurance testing and provide quantitative analysis to support risk management decisions.

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What benefits does OCC offer to a Lead Associate Principal in Quantitative Risk Management?

OCC offers a range of benefits to Lead Associate Principals, including a hybrid work environment, generous paid time off, tuition reimbursement, and parental leave. Additionally, there's a 401k employer match, competitive health benefits, and potential discretionary bonuses, making it a supportive workplace for your career growth.

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Common Interview Questions for Lead Associate Principal, Quantitative Risk Management
Can you explain your experience with developing risk models?

In answering this question, focus on specific projects where you developed risk models. Discuss the methodologies you used, the challenges faced, and the outcomes of your work. Show how your skills directly align with the requirements for the Lead Associate Principal role at OCC.

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How do you approach model performance testing?

Describe your systematic approach to model performance testing, emphasizing the importance of back-testing and validation. Provide concrete examples of how you’ve employed historical data to assess model accuracy and performance in past roles.

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What techniques do you use for quantitative analysis?

Discuss the quantitative techniques you are familiar with, such as time series analysis, GARCH models, or optimization methods. Provide examples of how these techniques have been applied in your previous projects and how they would benefit your role at OCC.

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How do you ensure the accuracy of your models?

Explain your process for ensuring accuracy, which could include thorough documentation, peer reviews, and regular validation checks. Mention specific tools and practices you use to maintain model integrity and how these practices align with OCC’s emphasis on quality.

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Can you explain your experience with financial derivatives?

Be prepared to share your understanding of financial derivatives, including the markets you have worked with (equities, commodities, etc.). Use examples from your experience that demonstrate your knowledge of pricing models and risk management strategies relevant to OCC.

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What is your experience with machine learning techniques in quantitative finance?

Discuss any experience you have with machine learning, particularly how these techniques can enhance quantitative risk models. Mention specific projects where you’ve applied machine learning to financial analysis, highlighting successful outcomes.

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Describe a challenging problem in risk management that you solved.

In your response, present a specific case where you identified a significant problem within risk management. Detail your analytical approach, the solution you devised, and the impact it had on operations or model performance.

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How do you document your models and analyses?

Articulate your documentation process, emphasizing clarity and thoroughness. Discuss the types of documents you produce, such as user guides or white papers, and how this practice supports collaboration and model longevity at OCC.

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How do you stay updated on trends and developments in quantitative finance?

Elaborate on the resources you use to stay informed, such as industry publications, seminars, training sessions, and professional networking. Convey your commitment to continuous learning and its importance for your role as Lead Associate Principal.

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How would you handle a disagreement with a colleague on model assumptions?

Describe your approach to resolving disagreements professionally and constructively. Highlight the importance of open communication and collaboration, possibly referring to a past experience where you navigated a similar situation successfully.

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EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
April 1, 2025

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