Voyager (94001), India, Bangalore, Karnātaka

Senior Associate, Business Analysis

About the Company

Capital One is the first largest bank to go all in on the public cloud while operating in a complex and highly regulated business environment and has transformed itself into a technology company. We are a technology-oriented company delivering financial products to market through modern technology and constant innovation at a massive scale.

Still founder-led by Chairman and CEO Richard Fairbank, we dare to dream, disrupt and deliver a better way for our customers, the financial industry and for each other. Our goal is simple – bring ingenuity, simplicity and humanity to an industry ripe for change.

As an 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 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.

Team Description At Capital One India, we are at the cutting edge of solving some of the fundamental business problems using advanced data methodologies, statistics, and machine learning algorithms. In the Model Risk Management team, we defend the company against model failures and find new ways of making better decisions with models. We use our statistics, software engineering, and business expertise to drive the best outcomes in both Risk Management and the Enterprise. We also understand that we can’t prepare for tomorrow by focusing on today, so we invest in the future: investing in new skills, building better tools, and maintaining a network of trusted partners. We learn from past mistakes and develop increasingly powerful techniques to avoid their repetition.

Responsibilities:

• Partner cross-functionally with data scientists, quantitative analysts, business analysts, software engineers, and project managers to manage the risk and uncertainty inherent in statistical and machine learning models in order to lead Capital One to the best decisions, not just avoid the worst ones.

• Build and validate statistical and machine learning models through all phases of development, from design through training, evaluation and implementation.

• Develop new ways of identifying weak spots in model predictions earlier and with more confidence than the best available methods.

• Assess, challenge, and at times defend state-of-the-art decision-making systems to internal and regulatory partners.

• Leverage a broad stack of technologies — Python, R, Conda, AWS, and more — to reveal the insights hidden within huge volumes of data

• Build upon your existing machine learning and statistical toolset - both by learning new technologies and by building custom software tools for data exploration, model performance evaluation, and more

• Communicate technical subject matter clearly and concisely to individuals from various backgrounds both verbally and through written communication

• Prepare presentations of complex technical concepts and research results to non-specialist audiences and senior management and contribute to technical reports

• Flex your interpersonal skills to translate the complexity of your work into tangible business goals, and challenge model developers to advance their modeling, data, and analytic capabilities

Basic Qualifications:

• Bachelor's Degree in a quantitative field (Business, Math, Economics, Finance, Statistics, Science, Engineering)

• At least 2 years of work experience in analysis

Preferred Skills:

• Master’s Degree in Business or quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering

• 1+ years of experience in statistical model building or validation

• 1+ years of experience in market research

• 1+ years of experience in SQL querying

• 3+ years of experience in business analysis

• Proficiency in key econometric and statistical techniques (such as predictive modeling, logistic regression, panel data models, decision trees, machine learning methods)

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

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 Recruiting Accommodation@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).