Principal Quantitative Analyst - Model Risk
- Employer
- Capital One
- Location
- McLean, Virginia
- Closing date
- Feb 12, 2021
View more
- Industry
- Financial Services and Banking
- Function
- Finance
- Hours
- Full Time
Job Details
Principal Quantitative Analyst - Model Risk
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.
As a Principal Quantitative Analyst within the Model Risk Office, you will validate financial forecasting and stress testing models used to measure risk and calculate capital requirements. You will initially focus on finance forecasting models but over time will gain exposure to diverse modeling techniques, including time series, logistic regression and machine learning. In addition you will get exposures to various asset classes including credit cards, auto loans, and investment securities. Validations cover all aspects of model development and performance and include forward-looking advancements in model sophistication and quality. You will enhance your technical and analytical skills, while also working with business leaders to understand and influence business strategies. With a network of over 200 quantitative analysts, data scientists and statisticians, we've created a dynamic environment with ample opportunities for learning and growth.
Responsibilities and Skills:
- Develop and implement validation strategies for statistical, financial, and other quantitative models used in revenue forecasting, stress, and capital calculations
- Assess the quality and risk of model methodologies, outputs, and processes
- Partner with the various lines of business to enhance modeling and analytical framework.
- Apply deep expertise in econometric, statistical and machine learning methods to generate critical insights in assessing model risks and opportunities.
- Communicate clearly and concisely both verbally and through written communication via model validation reports and presentations
- Identify opportunities to apply quantitative methods and automation solutions to improve business performance and process efficiencies.
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 machine learning and 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.
- 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)
Basic Qualifications:
- Bachelor's Degree plus 4 years of experience in Quantitative Analytics or Data Analytics, or Master's degree plus 1 year of experience in Quantitative Analytics or Data Analytics, or PhD in a Quantitative Analytics or Data Analytics.
- At least 2 years of experience in data analytics or financial modeling or econometric modeling (can include Graduate School Research work).
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.
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Company
We Don’t Only Think Big Things—At Capital One, We Do Big Things.
You’re dedicated to your career. You deserve professional satisfaction and personal fulfillment. You belong at Capital One.
Here, every day brings another chance to do impactful work that matters: helping millions of customers confidently manage their money, building stronger communities and delivering truly disruptive tech. You’ll give your all alongside some of the brightest, most resilient people in the industry—and in return, you’ll enjoy the growth opportunities, support, flexibility and benefits you need for an exhilarating life both on and off the job.
Be inspired. Be yourself. That’s #LifeAtCapitalOne.
Creating a Culture of Belonging
At Capital One, we value diversity, inclusion and belonging at our core. We’re building a place of belonging—where everyone can feel seen, heard, valued and free to be their authentic selves. We want to be a place of opportunity—where associates from all backgrounds innovate for our customers and communities, and build meaningful, fulfilling careers.
We endeavor to be a welcoming and inspiring place for all. We seek and embrace diversity. And we’re committed to having a diverse and inclusive workforce, focused on increasing the representation of underrepresented groups, strengthening our culture of inclusion and belonging and harnessing our scale to invest in our communities.
We’re focused on three core principles to advance diversity, inclusion and belonging across Capital One:
Create a culture of belonging where everyone can thrive and innovate
Attract and develop talent from all backgrounds and experiences
Ensure our systems and programs promote fairness and equity
Get a career with more at Capital One. Discover it for yourself today.
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, sexual orientation, gender identity, protected veteran status, disability or other protected status.
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