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Dinan

    Principal Associate - McLean, United States - Blackwomenintech

    Blackwomenintech
    Blackwomenintech McLean, United States

    2 weeks ago

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    Description

    Locations:

    VA - McLean, United States of America, McLean, VirginiaPrincipal Associate - Quantitative Analyst At Capital One data is at the center of everything we do.

    As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988 Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

    As a Quantitative Analyst at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in cloud computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

    The Quantitative Analyst teams at Capital One offer a unique opportunity to be part of a dynamic analytics and modeling team focused on developing behavior and valuation models for balance sheet portfolios.

    These portfolios can range from investment securities, derivatives, and other fixed income products along with other innovative financial modeling projects.

    Successful candidates will partner cross-functionally with business throughout the company to deliver breakthrough analytical solutions to support a winning strategy in a continually changing business environment.


    Responsibilities and Skills:

    • Partner with the various lines of business to develop and enhance Capital Markets modeling and analytical framework, such as deposit predictions, derivatives models and fixed income models.
    • Work across Capital One entities to create novel analytical solutions to challenging business problems.
    • Identify opportunities to apply quantitative methods and automation solutions to improve business performance and process efficiencies.
    • Collaborate in a crossdisciplinary team to build cloudbased solutions grounded in data.
    • Identify opportunities to apply quantitative methods or machine learning to improve business performance.
    • Apply deep expertise in mathematics, statistical and machine learning methods to generate critical insights and decision frameworks for our business and customers.
    • Providing technical guidance to business leadership.
    • Communicate technical subject matter clearly and concisely to individuals from various backgrounds.
    Expertise in quantitative analysis is central to our success in all markets. Our modelers thrive in a culture of mutual respect, excellence and innovation.

    Successful candidates would possess:

    • Deep understanding of quantitative modeling in relation to finance, deposit behaviors, capital markets and investment portfolio modeling principles.
    • Extensive experience in Python or other objectoriented 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.
    • Ability to fully own the model development process: from conceptualization through data exploration, model selection, validation, deployment, business user training, and monitoring.

    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., scikitlearn, PyTorch, Spark, NLTK.)
    • Experience working with largescale, cloudbased coding environments and databases.
    Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

    Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

    Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
    This role is expected to accept applications for a minimum of 5 business days.
    No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace.

    All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law.

    Capital One promotes a drug-free workplace.

    Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

    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 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.

    For technical support or questions about Capital One's recruiting process, please send an email to


    Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

    Capital One Financial is made up of several different entities.

    Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp.

    (COPSSC).
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