Senior Quantitative Analyst - Model Developer

    • New York, NY

NYC 299 Park Avenue (22957), United States of America, New York, New York

At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.

Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Senior Quantitative Analyst - Model Developer

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.

Capital One's Commercial Bank contains an approximately $100B (exposure) loan portfolio that has grown by virtue of several acquisitions. It is a Commercial Portfolio of C&I, CRE, Construction, and various specialty lending. As one of its top initiatives, the bank is building and revising its full suite of loss forecasting model for a series of critical processes, such as CCAR and CECL.

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 cross-disciplinary team to build cloud-based solutions grounded in data.
- Identify opportunities to apply quantitative methods or machine learning to improve business performance.

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.

Basic Qualifications:
- Bachelor's Degree plus 2 years of experience in Quantitative Analytics or Data Analytics.
- At least 1 year of experience in data analytics, 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

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


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