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Capital One India is seeking a Principal Associate in Business Analysis to drive analytics-led strategies for AML and risk management. The role emphasizes strategic leadership, collaboration with multi-disciplinary teams, and translating complex data insights into actionable product outcomes.
The ideal candidate has a strong background in statistics, open-source tools, and experience across Capital One’s data analytics platforms. A growth-oriented, data-driven mindset is essential.
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 a Principal Associate at Capital One, you will apply your strategic and analytical skills to major company challenges. You'll team with world-class professionals to develop and test strategies that ultimately impact how the company manages compliance and risk. And you will do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation.
At 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. The Anti-Money Laundering (AML) team is on a journey to modernize the way Capital One identifies potential money laundering, terrorist financing, and human trafficking through the use of advanced analytic techniques, statistics, and machine learning models. Our team develops data sourcing, predictive models, products, monitoring, and reporting using tools such as AWS, Snowflake, Python, and Spark. As the team responsible for building AML products, we are responsible for understanding user needs, conducting business analyses and finding the right things to build in a product, develop and maintain. Our mission is to empower data-driven decision-making, foster innovation without limits, and make Capital One’s AML program pre-eminent.
General responsibilities include but are not limited to:
The ideal candidate is:
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
CapitalOne is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
CapitalOne promotes a drug-free workplace.
CapitalOne 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, Article23-A of the NewYork Correction Law; SanFrancisco, California Police Code Article49, Sections4901-4920; NewYork 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.
CapitalOneFinancial is made up of several different entities. Please note that any position posted in Canada is for CapitalOne Canada, any position posted in the United Kingdom is for CapitalOne Europe and any position posted in the Philippines is for CapitalOne Philippines Service Corp. (COPSSC).
At CapitalOne, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, CapitalOne is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit.