Manager - Chennai | Zoek India
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Manager, Data Science 2
Chennai, Tamil Nadu
Permanent (Full time)
Job Description Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal’s 375 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 's Global Fraud Risk team is responsible for partnering with global business units to manage a variety of risk types including identity fraud, account takeover, stolen financial fraud, and credit issues. This is an exciting department where the contributions by the team members can drive not only PayPal's bottom line financial savings but safe and secure global business growth and best customer experience. This particular opportunity is within the PayPal Global Fraud Risk BI team who develops advanced models and drive next level insights and strategies about PayPal users/payments and translate them into actionable processes designed for large scale risk assessment/decision for various PayPal products. Responsibilities include:• Manage GFR BI Chennai team and extending GFR BI support to global sites. Enhance working rhythm with GFR and partners team in India with better holistic fraud risk E2E coverage• Apply advanced statistical techniques and algorithms on complex dataset to build deep learning models on prediction and driving automated business insights for PayPal product or customer level fraud risk management• Mine data covering a wide range of information from user profile to transaction details to solve risk problems that involve classification, clustering, pattern analysis, sampling, simulations. Leverage data to conduct GFR business program and initiative analytics, monitoring, and reporting with scalable and flexible platform.• In addition to existing AI deep learning models, build an additional on top layer of framework to produce best Financial scenarios and results for Business Growth balancing business enablement vs. risk mitigation efforts• Conduct a 360 fraud risk framework that covers risk lifecycle metrics for analytics, decisioning, and cross team collaboration. Conduct on-going performance overview to senior management• Carry out independent research and innovation in new content, ML and technological domains. Trouble shooting any data, system and flow challenge while maintaining flawless strategy executionRequirements include:BA/BS/MA/MS degree in Mathematics, Statistics, Operations Research, Economics or related quantitative disciplinePrevious team/people management experience required (3-year minimum)Strong code writing skills in key programming language (Python, R, Java, etc.) as well as data manipulation domain and familiarity with relevant ML PackagesExperience with financial modeling and credit/payment risk solutions and forecastingProven experience in employing mathematical, statistical, data mining and machine learning algorithms on real world problemsMust be an intuitive, organized analytical thinker, with the ability to perform detailed analysisStrong written, oral, and interpersonal skills a must, including the ability to explain and/or present analysesMust have good business judgment with demonstrated ability to think creatively and strategicallyWe're a purpose-driven company whose beliefs are the foundation for how we conduct business every day. We hold ourselves to our One Team Behaviors which demand that we hold the highest ethical standards, to empower an open and diverse workplace, and strive to treat everyone who is touched by our business with dignity and respect. Our employees challenge the status quo, ask questions, and find solutions. We want to break down barriers to financial empowerment. Join us as we change the way the world defines financial freedom.