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 Capital Markets & Analytics - Funds Transfer Pricing (FTP) team is seeking a highly motivated, talented, and collaborative professional. The Funds Transfer Pricing team is responsible for assigning a cost of funds for virtually all assets and liabilities on the balance sheet. In order to assign a cost of funds, the team works with stakeholders across the Company to create, manage, and implement an effective FTP framework. Through this function the team enables the business lines to make the right marginal product and pricing decisions, facilitates interest rate risk management of the Company, and provides an essential component to each individual line of business’s Profit & Loss (P&L).
Responsibilities and Skills:
Use Python and/or Spark to build and maintain automated scripts that calculate FTP rates
Build and unit test production level code
Support the development of a well-controlled framework to manage the funds transfer pricing infrastructure
Maintain the efficiency and accuracy of our models through continuous improvement and application of best practices
Develop and maintain high quality and transparent documentation
Ensure appropriate governance in our space as it pertains to Enterprise Data standards and Enterprise Risk/Model standards
Collaborate across the team resolve issues in the production processes and understand new strategies and products and their implications to our models
Support cross functional enterprise projects that impact our data sourcing and FTP calculations
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:
Excellent coding skills in Python (must-have) and/or R (good to have) with self-drive to create accurate, efficient, and organized code using industry best practices
Hands-on experience utilizing data analysis and visualization packages to gain insights from large datasets
Deep understanding of quantitative analysis methods with practical considerations on generating robust predictive forecasts within the context of financial institutions and/or commercial bank lending
Demonstrated track-record in applying statistical, machine learning and/or econometric analysis to solve business problems
Drive to develop and maintain high quality and transparent model documentation
Strong communication skills both written and verbal, and storytelling skills for presentations
Experience with simulation-based modeling approach, stochastic processes, etc
Appreciation for processes, controls, and good governance
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 Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 3 years of experience performing data analytics
A Master's 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 1 year of experience performing data analytics
Preferred Qualifications:
2+ years of banking experience within a treasury or balance sheet management function
3+ years of experience in financial analysis & modeling
2+ years of experience with AWS
2+ years of experience with Spark and SQL
Proficiency in Scientific Python ecosystems (such as: Pandas, Polars, NumPy, Dask)
Strong critical thinking and problem solving skills
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.
McLean, VA: $135,600 - $154,800 for Sr Assoc,Quantitative 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 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 the Capital 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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).