Business Analysis

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 Principal Associate Business Analysis at Capital One youll be part of a team thats 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.

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 the Credit Controls Management Team (CCMT) we defend the company against policy failures and find new insights which would lead to improvement in our underwriting standards. We use our statistics software engineering and business expertise to drive the best outcomes in both CCMT and the Enterprise. We also understand that we cant 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 repetition.

Responsibilities:

• Partner cross-functionally with data scientists quantitative analysts business analysts software engineers and project managers to provide assurance of the soundness of Capital Ones credit environment and develop new credit insights that would be beneficial to enhance underwriting standards.

• Develop new processes to identify weak spots in current implementations of our credit policy 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 and business analysis policy 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 existing policy makers to advance their modeling data and analytic capabilities

Basic Qualifications:

• Bachelors degree in a quantitative field (Business Math Economics Finance Statistics Science Engineering)

• At least 2 years of experience in business analysis

Preferred Skills:

• Masters degree in Business or quantitative field such as Finance Economics Physical Sciences Math Statistics Engineering

• 2 years of experience in working on large data processes

• 2 years of experience in SQL and Python programming

• 3 years of experience in business analysis

• Proficiency in key econometric and statistical techniques (such as bivariate assessments hypothesis testing regression modeling etc.)
  

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

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- or via email at . 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 Ones recruiting process please send an email to

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).