Senior Operations Manager

Job Description:

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:

Managing the resources supporting Advanced Analytics and Modeling team driving improved fraud detection, enhanced customer experience, and developing innovative analytical tools for fraud strategy partners

Job Description

Experienced analytics professional to lead a team that focuses on Advanced Analytics and Modeling. The role will support Fraud Data Science area. This leader will be responsible for the following key areas:

• Providing guidance, insight, support, and leadership to the team, and manage day-to-day execution
• Advocating for the Data Science team locally in India as well as providing opportunities to mentors and high performing individuals to present to senior leadership in India.
• Assisting onshore senior managers and India team in prioritizing work in a highly dynamic environment

Responsibilities:

• Ensuring that the right controls and routines are in place and are followed by the team (change control processes, mandatory trainings compliance, etc.)
• Coordinating, conducting interviews, keeping candidates warm, and tracking offer rollouts for the team
• Developing and maintaining strong onboarding practices for the new members of the team ongoing training routines
• Driving processes automation and optimization

Requirements:

Foundational Skills: Bachelor’s degree is required, ideally in a quantitative discipline such as mathematics, statistics, economics, business, engineering, finance or operations research.

Candidate must have 12 to 15 years of relevant experience, with around 5 years in risk / fraud functions. 

Candidate must be proficient with SAS and SQL.  Candidate must be familiar with the use of statistical modeling packages. 

Candidate must have superior communication skills and be able to present confidently to all levels of the organization, with the appropriate level of detail for the audience

Candidate must have exceptional organization skills and be able to deal with multiple critical projects underway at once, while dealing with the day-to-day management of fraud.  

Desired Skills:

• Master’s degree in a quantitative discipline such as mathematics, statistics, economics, business, engineering, finance is preferred.
• Cyber / Information security experience is a plus.
• Experience with Python and usage of more advanced analytical, visualization and data extraction tools (H2O, HUE, Pig, Spark, Hive, Tableau) is strongly preferred.

Education / Certification:

• Advanced degree, preferably in Statistics/Mathematics, Computer Science, Engineering from a premier institute
• Technical certifications in SAS, SQL preferred

Experience:

• Candidate must have 12 to 15 years of relevant experience in financial services, with around 5 years in risk / fraud functions
• SAS, SQL  data analytics
• U.S financial services experience preferable
• Understanding of business domains like Fraud/Compliance/Risk  preferable

Work Timings: 11: 30 AM to 8:30 PM, 12: 30 AM to 9:30 PM

Job Location: Gurugram/Mumbai