Associate, Business Analysis

Bengaluru, In

Capital One

You’re tenacious and driven, so the last place you want to work is some boring bank. Same. Learn about careers at Capital One and view jobs here.

View company page

Apply now Apply later

Voyager (94001), India, Bangalore, Karnataka

Associate, Business Analysis

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.

Visit our website to learn more about who we are and what we do!

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. 

DataLabs is looking for business analysts to drive our foray into autonomous and intelligent data products that solve the full gamut of business and analytical needs. 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. 

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. In addition, 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

Skill Sets we utilize (not mandatory to have for selection) 

  • Data Analysis and Statistical Modeling & Forecasting 

  • Machine Learning solutions development

  • Benchmark existing solutions against state-of-the-art decision-making systems

  • Web & Customer experience analytics 

  • Data mining & pattern recognition analyses

  • Proficiency in SQL and Python / R

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 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 RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com

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).

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  1  0  0
Category: Analyst Jobs

Tags: Credit risk CX Data analysis Data Mining Industrial Machine Learning ML models Python R RDBMS SQL Statistical modeling Statistics Unstructured data

Perks/benefits: Career development Startup environment

Region: Asia/Pacific
Country: India

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.