Manager (3 Days Left)

About Us At Bank of America we are guided by a common purpose to help make financial lives better through the power of every connection Responsible Growth is how we run our company and how we deliver for our clients teammates communities and shareholders every day One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world We re devoted to being a diverse and inclusive workplace for everyone We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical emotional and financial well-being Bank of America believes both in the importance of working together and offering flexibility to our employees We use a multi-faceted approach for flexibility depending on the various roles in our organization Working at Bank of America will give you a great career with opportunities to learn grow and make an impact along with the power to make a difference Join us Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed globally integrated delivery model and globally resilient operations Global Business Services is recognized for flawless execution sound risk management operational resiliency operational excellence and innovation In India we are present in five locations and operate as BA Continuum India Private Limited BACI a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services Process Overview Building out Strategies Analytics Process Integration team in India driving improved fraud detection loss reduction In this role you will be expected to work with our lead data scientist and the US teams as well as our internal strategy analytics technology product and policy partners to deploy advanced analytical solutions with the goal of reducing fraud losses reducing false positive declines at the point-of-sale improving client experience and ensuring the Bank minimizes its total cost of fraud Responsibilities Some tasks that this role may be responsible for include but are not limited to Model development Regression Tree based algorithms and neural network Utilization of Supervised and Unsupervised learning methods Applying Unsupervised learning methods to augment existing supervised models or detect portfolio anomalies Understanding graph databases and analytics would be helpful Robotic process automation to reduce the need for manual repeatable processes In addition the role will be expected to work with the lead data scientist and the team executive and stakeholders to help develop the data strategy for Client Protection to ensure the organization has the proper data to make the right decisions with a priority on data availability in real-time and generating true customer-level views able to make intelligent fraud decisions leveraging the entirety of our interactions with a customer Requirements Education Advanced degree preferably in Statistics Mathematics Applied Sciences Engineering from a premier institute Certification Technical certifications in SQL GSQL Tiger Graph Cypher GSQL Hive Python PySpark and SAS preferred Experience 6 - 9 years of relevant experience in field of analytics including 4 years in data science 3 years of experience in data engineering extensive experience in PySpark and other big data methods experience owning and optimizing a codebase Foundational Skills Python PySpark SAS and Hive U S financial services experience preferable Have strong statistical knowledge Understanding of business domains like Fraud Compliance Risk preferable Bachelor s degree in a quantitative discipline such as mathematics engineering economics finance business computer science Master s degree or higher preferred In lieu of a specific degree advanced certifications in combination with strong experience will also be considered The candidate must be at an advanced to expert level on SQL and Statistical knowledge Must have 6 - 9 years of relevant experience in field of analytics including 4 years in data science with preference working in financial services Strong preference to experience in fraud or cybersecurity Candidate must have a proven track record of building and deploying analytical solutions that have resulted in material financial results and extensive management experience Ability to work in a fast-paced dynamic environment is critical Must have exceptional organizational project management and communications skills Desired Skills Solid knowledge of Python SAS and or Spark and various commercial and model generation software Should additionally have familiarity with other tools such as HUE Hive and other data gathering tools Work Timings 11 30 AM to 8 30 PM 12 30 PM to 9 30 PM Job Location Mumbai Gift Chennai