Principal Associate, Data Science

Overview

At Capital One, we think big and do bigger things. We were the first company to develop and offer mass customization and personalization of credit card, auto loans and other financial services products, and we have been innovating relentlessly ever since. Today, we are a progressive financial services powerhouse spanning Credit Cards, Auto Loans, Savings, and Commercial Banking and at the same time a high-tech company, a scientific laboratory, and a well-recognized brand all in one. We are a passionate and entrepreneurial team with heart – a team that embraces bold ideas, fosters collaboration, and delivers world-class products and services 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.

DataLabs is looking for experienced data scientist to drive our foray into autonomous and intelligent data products that solve the full gamut of business and analytical needs. This role involves working with DataLabs leadership and lines of businesses in our Financial Services division to understand contemporary business needs, making impactful and actionable offers in partnership with specialist teams in DataLabs, and driving end-to-end execution of initiatives. The role will be part of an exceptional team that is drawn from elite campuses in India and abroad, and focused on our mission to develop world class data products.

DataLabs prides itself on its exceptionally vibrant culture. 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.

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 recommendations

Product : Conceptualize and develop world class data products that typically leverage Machine Learning applied on structured and unstructured data

Execution : Includes the development of frameworks, hypotheses, tests, analysis and options, scoping operational feasibility, leading implementation efforts and developing a monitoring plan

Partnership : Work closely with business leaders across Capital One

 What are we looking for?

Strategic & analytic orientation: A proven track record of data driven decision making and problem solving. Exceptional conceptual thinking skills complemented by rigor and strong quantitative orientation

Strong business judgment, leadership and integrity: She/he should be a tenacious problem solver with good judgment and an open-minded approach. One who pushes the envelope but is rooted in ground reality

Strong communication skills: Impeccable written and oral communications, 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. She/he 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.

Basic Qualifications:

Bachelor’s Degree in any quantitative field (Business, Math, Economics, Finance, Statistics, Science, Engineering)

At least 4 years of experience in performing data analytics

Preferred Qualifications:

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

3+ years of experience in Statistical model building

3+ years of experience in SQL querying

3+ years experience in Python, Scala, or R

3+ years experience with machine learning