Manager

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 reductionIn 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

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Education

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• 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