Principal Associate - Quantitative Analyst - Enterprise Model Risk Management

Employer
Capital One
Location
Chicago, Illinois
Posted
Sep 13, 2022
Closes
Oct 12, 2022
Ref
R146885
Function
Finance
Hours
Full Time
Chicago IL (81013), United States of America, Chicago, Illinois

Principal Associate - Quantitative Analyst - Enterprise Model Risk Management

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.

This role offers the opportunity to be part of a dynamic analytics and modeling organization at Capital One. The successful candidate will combine statistical, economic, and financial knowledge to drive insights in support of the company's strategies through a continually changing business environment. This position will involve exposure to a wide variety of models as well as many Capital One quantitative analysts, business analysts, and senior leaders. The successfulcandidate will partner cross-functionally with key stakeholders throughout the company on quantitativeprojects and present the findings to senior management. This role, within the Enterprise Model Risk Management, performs independent quantitative validations of models across the enterprise. The successful candidate will challenge key assumptions, assess statistical quality, and build benchmark/challenger models to gain insight into model robustness across the economic cycle.

Responsibilities and Skills:

-Remain on the leading edge of analytical technology with a passion for the newest and most innovative tools.

-Develop model approaches to assess model design and advance future capabilities.

-Understand relevant business processes and portfolios associated with model use.

-Understand technical issues in econometric, statistical, and machine learning modeling and apply these skills toward developing models and assessing model risks and opportunities.

-Communicate technical subject matter clearly and concisely to individuals from various backgrounds both verbally and through written communication; prepare presentations of complex technical concepts and research results to non-specialist audiences and senior management.

-Maintain the efficiency and accuracy of our models through continuous improvement and application of best practices.

-Develop and maintain high quality and transparent documentation.

-Leverage the latest open source technologies and tools to identify areas of opportunity in our existing framework.

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 track-record in statistical-learning and econometric analysis. ----- Desire to remain on the leading edge of analytical technology with a passion for the newest and most innovative tools.

- Strong coding skills in R or Python and drive to create efficient, accurate, and maintainable code with best practices.

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

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

- Reverence for processes, controls, governance, and building good infrastructure.

- Ability to manage a small team and complex projects that require cross-team collaboration.

Basic Qualifications:
- Bachelor's Degree plus at least 5 years of experience in data analytics, or Master's Degree plus at least 3 years in data analytics, or PhD

- At least 1 years of experience in data analytics or financial modeling or econometric modeling (can include Graduate School Research work).
- At least 2 years of programming experience.

Preferred Qualifications:
- Master's Degree or PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, Physics or related discipline.
- 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.

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, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, 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 4901-4920; 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com

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).