Business Analyst Intern
Capital One
Bengaluru, Karnataka, India
Overview Voyager (94001), India, Bangalore, Karnataka Business Analyst Intern 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. Our goal is simple – bring ingenuity, simplicity and humanity to an industry ripe for change. At DataLabs, Capital One India, we solve fundamental business problems at scale using advanced analytics, data science and machine learning. We specialize in deriving valuable insights about various aspects of the business - including product and process design, consumer behavior, regulatory and credit risk, and much more - from large volumes of data to build cutting edge patentable products at an industrial scale. At DataLabs, you will work in a fast paced and intellectually rigorous environment. You will have the opportunity to learn and build deep expertise in the core areas of advanced analytics, industrial-scale product design and development, data science and machine learning. And you will do it all in a collaborative environment that values problem solving, encourages creativity, promotes learning, and rewards innovation. DataLabs prides itself on its exceptionally vibrant culture. We nurture a work environment where people with a variety of thoughts, ideas and backgrounds, guided by our shared values, come together to make Capital One a great company and a great place to work. Our Associate Development program enables us to shape amazing career and professional development opportunities for our associates. Our best-in-class Corporate Social Responsibility program has nurtured longstanding partnerships with committed organizations that make a meaningful difference to the communities around us. The enthusiastic volunteerism of our associates is the backbone of all that we do - it enables us to push the envelope of possibilities and have incredible fun along the way. We bend backwards to take care of one another through thick and thin. Our work and the people we are surrounded by are an enduring source of strength and fulfillment in our lives. What are we looking for? ● Strategic & analytic orientation: A proven track record of decision making and problem solving based on analytics. Conceptual thinking skills must be complemented by a strong quantitative orientation ● Strong business judgment, leadership and integrity: He/she should be tenacious decision maker, able to bring a healthy, aggressive, yet responsible approach to business ● Strong communication skills: Impeccable written and oral communication credentials, coupled with strategic influencing skills and the ability to drive agreement through intellect, interpersonal and negotiation skills ● Clear results orientation: Display an intense focus on achieving both short and long term goals. He/she should be able to drive and execute an agenda in an uncertain and fluid environment ● Successful track record of thriving in a fast paced, entrepreneurial and dynamic environment. Specific responsibilities include, but are not limited to: ● Analysis: Identify business challenges and opportunities for improvement and solve for them using business, statistical and data analysis to make strategic or tactical recommendations ● Product: Conceptualize and develop world class data products leveraging Machine Learning on structured and unstructured data. ● AI and Risk management: Build and validate statistical and machine learning models through all phases of development, from design through training, evaluation and implementation. Inaddition, develop new ways of identifying weak spots in model predictions earlier and with more confidence than the best available methods ● Execution: Involve problem frameworks, develop hypotheses, test and analysis, solution development, scope operational feasibility, lead implementation efforts and develop a monitoring plan
