Bank Of America Senior Operations Manager 

India, Haryana, Gurugram District 

209911307

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

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.

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

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