Data Science Fraud Manager

6 days ago

Gurgaon, Haryana, India Bank of America Full time
Delivering Technology and Operations Capabilities

Global Business Services at Bank of America delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions through a centrally managed, globally integrated delivery model and resilient operations.

Data Science Expertise

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.

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.

Key Responsibilities
  1. 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.
  2. Engaging 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.
  3. Managing candidate interviews and onboarding, staff retention, and other HR related activities necessary for continued team operations.
  4. Managing staff development and growth, especially as it relates to data, analytical methods, business acumen, technical capability, and communication.
  5. Manage internal workflows including organizing clear sprint plans, backlog of future work, risk/issues to team and deliverable success, and opportunities for improvement.
  6. 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.
  7. Advocates for the Fraud Data Science team and staff member locally in India.
Foundation Skills

As a Fraud Data Science Manager, you 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 like finance or economics.
  • At least 7 years of relevant experience, including in risk/fraud functions.
  • Proficiency in data and analytics tools such as SQL databases and querying, graph databases and querying, HDFS, Hive, Impala, Python, PySpark, Pandas.
  • A 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.
  • Superior communication skills and the ability to present confidently to all levels of the organization with the appropriate level of detail for the audience.
  • Exceptional organization skills and the ability to deal with multiple critical projects underway at once while also dealing with the day-to-day management of fraud.

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