drjobs Principal Quantitative Modeler

Principal Quantitative Modeler

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1 Vacancy
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Job Location drjobs

Mclean - USA

Monthly Salary drjobs

$ 158600 - 181000

Vacancy

1 Vacancy

Job Description

Principal Quantitative Modeler

As a Quantitative Modeler at Capital One youll be part of a team thats 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 time and agony in their financial lives.

This position is part of Capital Ones Credit Risk Management Modeling team. In this team we use multiple cloudbased opensourced technologies to develop econometric and machine learning models and analytics to predict and generate insight into Capital Ones risk and capital needs. We blend cuttingedge quantitative methods with deep understanding of our business data and regulatory environment to build predictive models for credit and operational losses volumes and outstanding balances in support of loss forecasting CECL/allowance stress testing and capital allocation for Capital One. Our models and analyses inform earnings call prep vertical resilience and downturn preparedness initiatives.

In this position youll be part of a team tasked with ushering in the next wave of disruption to predictive modeling using technology to build & deploy models and solutions leveraging new data sources to provide powerful new insights about our portfolio resilience and opportunities.

Responsibilities and Skills:
Partner with the various lines of business to enhance modeling and analytical framework.
Work across Capital One entities to create novel analytical solutions to the 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 econometric 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:
Strong understanding of quantitative analysis methods in relation to financial institutions.
Demonstrated trackrecord in machine learning and/or econometric analysis.
Experience utilizing model estimation tools.
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 one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:

A Bachelors Degree in a quantitative field (Statistics Economics Operations Research Analytics Mathematics Computer Science or a related quantitative field) plus 5 years of experience performing data analytics

A Masters Degree in a quantitative field (Statistics Economics Operations Research Analytics Mathematics Computer Science or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics

A PHD in a quantitative field (Statistics Economics Operations Research Analytics Mathematics Computer Science or a related quantitative field)


Preferred Qualifications:
PhD in Statistics Economics Mathematics Financial Engineering Operations Research Engineering Finance Physics or related disciplines.
1 year of experience with Python R or other statistical analyst software.
2 years of experience with data analysis.
1 year of experience manipulating and analyzing large data sets.
Proficiency in key econometric and statistical techniques (such as predictive modeling logistic regression survival analysis panel data models design of experiments decision trees machine learning methods.

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum fulltime annual salaries for this role are listed below by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for parttime roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean VA: $158600 $181000 for Prin Assoc Quant Analysis











Candidates hired to work in other locations will be subject to the pay range associated with that location and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidates offer letter.

This role is also eligible to earn performance based incentive compensation which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive competitive and inclusive set of health financial and other benefits that support your total wellbeing. Learn more at theCapital One Careers website. Eligibility varies based on full or parttime status exempt or nonexempt 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 drugfree 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 23A of the New York Correction Law; San Francisco California Police Code Article 49 Sections; New York Citys Fair Chance Act; Philadelphias 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 ator 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 Ones recruiting process please send an email to

Capital One does not provide endorse nor guarantee and is not liable for thirdparty 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).


Required Experience:

Staff IC

Employment Type

Full-Time

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