Senior Associate, Data Science

Voyager (94001), India, Bangalore, Karnātaka Senior Associate, Data Science 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 Data Scientist, you will be part of a team that is leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies to unlock the big opportunities that help drive efficiency and improve customer experience. 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. Team Description 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 Model Risk Management team acts as a critical line of defense, identifying and mitigating risks associated with the bank's most sophisticated decision-making systems. We combine statistics, software engineering, and business expertise to drive the best outcomes for the Enterprise, ensuring that every model from deposits pricing to fraud detection is robust and reliable. We understand that we cannot prepare for tomorrow by focusing only on today; therefore, we invest heavily in new skills and building better tools to govern emerging technologies like Generative AI. Our team thrives on a rigorous challenge culture to develop increasingly powerful validation techniques that ensure model integrity and regulatory compliance. Role Description General responsibilities include but are not limited to: • Partner cross-functionally with teams throughout the enterprise including Product and Tech to deliver solutions. You will enhance your technical and analytical skills, while also working with leaders to influence business strategies. • Collaborate with Quants, Data Scientists, Data analysts, Business analysts and risk managers to drive innovation, and shape strategic initiatives. • Utilize data to drive real-world impact and thrive in a collaborative, forward-thinking environment. • Assess, challenge, and at times defend state-of-the-art decision-making systems to internal and regulatory partners. • 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. • Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms. • Build well-managed data products, data solutions, tools, and capabilities to enable self-service frameworks for data consumers. • Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives. • Drive analysis that provides meaningful insights on business strategies. • 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 senio