Senior Operations Manager

1 week ago

Gurgaon, Haryana, India Bank of America Full time
Job Description

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. Were 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:

Fraud Data Science utilizes advanced analytical methods and technologies to drive improvements in fraud detection capabilities and participates in combating fraud with other partners in the Client Protection organization within the Consumer & Small Business area of Bank of America. This includes building internal models, detecting fraudulent networks coordinating attacks, creating innovative early warning mechanisms, and utilizing next-gen technologies like graph databases and real-time data streams.

Job Description

The Fraud Data Science Manager will manage staff, support multiple strategic workflows, and engage with other Fraud Data Science teams and Client Protection partners in combating fraud. The leader will provide oversight and direction of development activities of the team while also participating in planning, reporting and administrative duties with other Client Protection leaders.

Responsibilities

- Providing general guidance, support, and leadership to the team including driving day-to-day operations, managing performance, and tracking of tasks on an Agile team.
- Engage Fraud Data Science and other Client Protection leaders to build relationships, plan workflows, oversees execution and report statuses across a highly dynamic and interconnected environment. Ensuring compliance with bank policies and procedures, especially as it relates to use of data, models, technology and change management.
- Managing candidate interviews and onboarding, staff retention, and other HR related activities necessary for continued team operations.
- Managing staff development and growth, especially as it relates to data, analytical methods, business acumen, technical capability, and communication.
- Manage internal workflows including organizing clear sprint plans, backlog of future work, risk/issues to team and deliverable success, and opportunities for improvement.
- Drive results through guiding the team in gathering requirements, the sound use of data science techniques and methodologies, optimal use of technologies, navigating complex business processes, and validating quality delivery of use cases.
- Advocates for the Fraud Data Science team and staff member locally in India.

Requirements

- Education - Masters degree in a STEM field such as mathematics, statistics, engineering, operations research and computer science, or business-related fields such as finance or economics.
- Experience Range - 12 + years

Foundation Skills

- Candidate must have a bachelors degree ideally in a STEM field such as mathematics, statistics, engineering, operations research and computer science, or business-related fields such as finance or economics.
- Candidate must have 7+ years of relevant experience including in risk / fraud functions.
- Candidate must be proficient in the use of data and analytics tools such as: SQL databases and querying, graph databases and querying, HDFS, Hive, Impala, Python, PySpark, Pandas.
- Candidate must have working knowledge of data science concepts including statistics and modeling, data engineering (inclusive of structured, unstructured, semi-structured and graph data), and business acumen relevant to banking and fraud.
- 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 also dealing with the day-to-day management of fraud.
- Deep experience operating with closely integrated cross-functional teams of data scientists, data engineers, platform engineers and business experts.
- Strong experience in development lifecycle as it relates to data science and productionizing (i.e., CRISP-DM, SDLC) of use cases with technology including testing design and validating deployments.
- Strong experience in advanced technologies for data storage and processing such as graph and big data, including involvement in multiple deployments to a production environment.
- Experience with advanced methods such as graph algorithm development, parallel processing, neural networks, large language models, or otherwise AI/ML concepts related to combating fraud are a plus.
- Experience with development methodologies like Agile that drives adaptability and collaboration in a dynamic and complex environment. Is comfortable with navigating ambiguity through building relationships, critical thinking, innovation, and teamwork.
- Cyber / Information security experience is a plus.

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

Job Location: Gurugram / Mumbai

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