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Capital One Principal Associate - Quantitative Analyst 
United States, Virginia, Arlington 
543537465

26.06.2024
Locations: VA - McLean, United States of America, McLean, Virginia Principal Associate - Quantitative Analyst


Responsibilities and Skills:

- Communicate technical subject matter clearly and concisely to individuals from various backgrounds.

- Deep understanding of quantitative modeling in relation to finance, deposit behaviors, capital markets and investment portfolio modeling principles.

- Extensive experience in Python or other object-oriented language.

- Ability to clearly communicate modeling results to a wide range of audiences.

- Drive to develop and maintain high quality and transparent model documentation.

- Strong written and verbal communication skills.

- Strong presentation skills.

Basic Qualifications:

- Currently has, or is in the process of obtaining a Bachelor’s Degree plus at least 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 3 years in data analytics, or currently has, or is in the process of obtaining PhD with an expectation that required degree will be obtained on or before the scheduled start date.

- At least 2 years of programming experience or financial modeling or econometric modeling (can include Graduate School Research work).

Preferred Qualifications:

- Master’s Degree in Financial Engineering, Financial Mathematics, Operations Research, Finance, Engineering, Statistics, Economics, Mathematics, Physics or related discipline.

- Deep Knowledge of capital market products, derivative instruments and experience with capital markets derivatives modeling.

- Experience with developing and implementing models using modern scripting languages (Python, R or other statistical languages) and working with data using query languages such as SQL.

- Experience in statistical techniques such as classification, clustering, regression, and natural language processing.

- Experience with machine learning platforms and frameworks (e.g., scikit-learn, PyTorch, Spark, NLTK.)

- Experience working with large-scale, cloud-based coding environments and databases.

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.