Associate Principal, Quant Risk Modeling & Monitoring

The Options Clearing Corporation (OCC); Chicago (IL); Hybrid; USD 111,000 - 200,000; Full time

Benefits offered by this job

Hybrid work environment (up to 2 days/

Tuition Reimbursement

Student Loan Repayment Assistance

Technology Stipend

Generous PTO and Parental leave

401k Employer Match

Competitive health benefits

Job summary

The Options Clearing Corporation (OCC) is seeking an Associate Principal in Quantitative Risk Management to develop and maintain model performance monitoring and analytics tools. The role collaborates with quantitative analysts, data teams, and model validation to implement new analytics and improve existing tools.

Responsibilities include data model development, back-testing, documentation, and cross-functional teamwork to support new product launches.

Qualifications

• Master’s degree or equivalent in a quantitative field such as data analytics, computer science, mathematics, physics, finance/financial engineering.
• 2 years of experience in data analytics required.
• Strong programing skills. Able to read and/or write Python code in a collaborative software development setting.

Responsibilities

• Maintain and build data models to ensure information is available in our analytics warehouse for downstream uses, such as analysis and dashboard development
• Perform model performance monitoring implementation and testing, including portfolio back-testing using historical data
• Review implementation of model monitoring metrics and algorithms focusing on requirement verification, coding, and testing quality
• Write and review documentations for model monitoring metrics, prototypes and implementation
• Support the launch of new products by enhancing monitoring capabilities
• Create documentation and testing to ensure data is accurate and easily understandable
• Discover and share best practices for data and analytics engineering with members of the team
• Invest in your continued learning on data and analytics engineering best practices and evaluate them for fit in improving maintainability and reliability of analytics infrastructure
• Develop Python scripts with Pandas and object-oriented programming to automate data processing
• Conduct visualization and exploratory analysis using advanced statistical methods
• Participate in model performance monitoring code reviews and troubleshooting
• Assist analysts in solving their analytics questions/challenges

Skills

Python

SQL

Team collaboration

Problem-solving

Analytical thinking

Education

Master’s degree in quantitative field

Tools

Git

GitHub

Jenkins

Confluence

Jira

Job description

The Options Clearing Corporation (OCC) is seeking an Associate Principal in Quantitative Risk Management to develop and maintain model performance monitoring and analytics tools. The role collaborates with quantitative analysts, data teams, and model validation to implement new analytics and improve existing tools.

Responsibilities include data model development, back-testing, documentation, and cross-functional teamwork to support new product launches.