Senior Associate Business Analysis

Voyager 94001 India Bangalore Karnataka

Senior Associate Business Analysis

About the Company

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! Fastforward 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 datadriven decisionmaking.

Today we are a hightech company a scientific laboratory and a nationally recognized brand all in one impacting over 65 million customer accounts. Still founderled 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.

As an Analyst 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 time and agony in their financial lives.

Team Description
At DataLabs 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 DataLabs 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 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 their repetition.

Role Description
In this role you will:
Partner crossfunctionally 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 stateoftheart decisionmaking 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 nonspecialist audiences and senior management
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

The ideal candidate is:
Inquisitive. You thrive on bringing definition to big undefined problems. You love asking questions and pushing hard to find answers. Youre not afraid to share a new idea.
Technical. Youre comfortable with opensource languages and are passionate about developing further. You have handson experience developing data science solutions using opensource tools and cloud computing platforms.
Statisticallyminded. Youve built models validated them and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering classification time series and deep learning.
Innovative. You continually research and evaluate emerging technologies. You stay current on published stateoftheart methods technologies and applications and seek out opportunities to apply them.

Basic Qualifications:
Degree in statistics math engineering economics econometrics financial engineering finance or operations research with a quantitative emphasis preferred
Atleast 2 years relevant work experience
Experience in Python or R

Preferred Skills:
Proficiency in key econometric and statistical techniques (such as predictive modeling logistic regression panel data models decision trees machine learning methods)
Atleast 2 years of experience model development or validation
Atleast 2 years of experience in R or Python for large scale data analysis
Atleast 2 years of experience with relational databases and SQL
Strong analytical skills with high attention to detail and accuracy
Excellent written and verbal communication skills

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 drugfree 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 23A of the New York Correction Law; San Francisco California Police Code Article 49 Sections; New York Citys Fair Chance Act; Philadelphias 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 ator 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 thirdparty 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).