Senior Associate, Quantitative Analysis - Commercial Finance

Senior Associate, Quantitative Analysis - Commercial Finance 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 relational database technology back in 1988. Fast‑forward a few years, and this passion for data has propelled us to a Fortune 200 company and a leader in data‑driven decision‑making. As a Quantitative Analyst, 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 anxiety in their financial lives. Capital One’s Commercial Bank contains an approximately $100B loan portfolio that has grown through several acquisitions, spanning Commercial & Industrial, Commercial Real Estate, and specialty lending, alongside over $30B of commercial deposits. The Modeling Data & Analytics Team within Commercial Finance is responsible for forecasting the volume and net interest income of this portfolio. Responsibilities and Skills Partner with various lines of business to develop and enhance commercial finance modeling and analytical frameworks, 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 and analytical methods including time‑series modeling, statistical regression, machine learning algorithms, and simulations to generate critical insights and decision frameworks for our business and customers. Identify opportunities to apply automation solutions to improve business performance and process efficiencies. Collaborate in a cross‑disciplinary team to build cloud‑based solutions grounded in data. 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 another object‑oriented language. Ability to clearly communicate modeling results to a wide range of audiences. Ability to collaborate effectively with cross‑functional partners and contribute as a supportive team player. 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 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 Master’s Degree in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, Physics, or a related discipline. 2 years of experience with data analysis. 2 years of experience with Python, R, or other statistical analyst software. 2 years of experience manipulating and analyzing large data sets. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Compensation New York, NY: $145,100 - $165,600 for Senior Associate, Quantitative Analysis. This role is also eligible to earn performance‑based incentive compensation, which may include cash bonus(es) and/or long‑term incentives (LTI). Incentives may be discretionary or non‑discretionary depending on the plan. Benefits Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well‑being. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level. Employment Information Seniority level: Associate Employment type: Full‑time Equal Opportunity Employment 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 View phone number on click.appcast.io or via email at View email address on click.appcast.io. 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 View email address on click.appcast.io. 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). #J-18808-Ljbffr Capital One