Senior Operations Manager Senior Operations Manager
Job Description:
Overview
About Us
Bank of America is one of the world’s leading financial institutions, serving individual consumers, small and middle-market businesses and large corporations with a full range of banking, investing, asset management and other financial and risk management products and services. We are committed to attracting and retaining top talent across the globe to ensure our continued success. Along with taking care of our customers, we want to be the best place for people to work and aim at creating a work environment where all employees have the opportunity to achieve their goals
We are a part of the Global Business Services which delivers technology and operations capabilities to Bank of America lines of business (LOB) and enterprise functions.
Our employees help our customers and clients at every stage of their financial lives, helping them connect to what matters most. This purpose defines and unites us. Every day, we are focused on delivering value, convenience, expertise and innovation for individuals, businesses and institutional investors we serve worldwide.
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 / Responsibilities:
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. Key responsibility areas include:
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.
Required Skills:
Candidate must have a bachelor’s 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.
Desired Skills:
Required Skills And
Master’s degree in a STEM field such as mathematics, statistics, engineering, operations research and computer science, or business-related fields such as finance or economics.
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 AM to 9:30 PM
Job Location: Gurugram / Mumbai
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