▷ [3 Days Left] 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 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 Today we are a high-tech company a scientific laboratory and a nationally recognized brand all in one impacting over 65 million customer accounts 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 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 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 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 Role Description In this role you will 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 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 You re not afraid to share a new idea Technical You re comfortable with open-source languages and are passionate about developing further You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms Statistically-minded You ve 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 state-of-the-art 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 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 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 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