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 loan portfolio that has grown by virtue of several acquisitions. It is a Portfolio of Commercial & Industrial, Commercial Real Estate, and various specialty lending. Capital One's Commercial Bank also has over $30B of Commercial deposits. The Modeling Data & Analytics Team within Commercial Finance is responsible for the modeling work of forecasting net interest income of the Commercial Portfolio.
Responsibilities and Skills:
- Partner with the various lines of business to develop and enhance Commercial Finance modeling and analytical framework, such as loan/deposit balance forecasting, loan/deposit spread models, and revenue forecasting
- 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 cross-disciplinary team to build cloud-based 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
- Provide 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 will possess:
- Understanding of quantitative modeling in relation to Commercial loan portfolio and deposit behaviors
- Extensive experience in Python or other object-oriented 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 own the model development process from conceptualization through data exploration, model selection, validation, deployment, business user training, and monitoring
- Deep knowledge of Commercial products, financial statements, and balance sheet management
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 or PhD in Statistics, Economics, Mathematics, Financial Engineering, Finance, Operations Research, Engineering, Physics or related discipline
- At least 3 years of experience with developing and implementing models using modern scripting languages (Python, R or other statistical languages)
- At least 3 years of experience in statistical techniques such as regression, root cause analysis, causal inference, classification, and clustering
- At least 3 years of experience working with large-scale, cloud-based coding environments and databases (Python, SQL or other data manipulation languages)
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time 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 part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York City (Hybrid On-Site): $165,100 - $188,500 for Prin Assoc, Quant AnalysisCandidates 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 candidate's 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 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 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).
