Manager

Bank of America
Mumbai, Gandhinagar, Hyderabad
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceExperience: 4-6 yearsEducation: mastersSkills: ["Communication","Collaboration","Project management","Stakeholder management","Problem-solving"]

Lead data engineering initiatives within Global Business Services to deploy advanced analytics for fraud detection, loss reduction, and real-time decisioning. You will partner with data scientists, product and policy teams to build scalable PySpark pipelines, ensure data availability, and deliver unified customer views to enable smarter fraud decisions across multiple India locations.

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FursaFursa
Bank of America
Bank of America
2 months ago

Manager

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Lead data engineering initiatives within Global Business Services to deploy advanced analytics for fraud detection, loss reduction, and real-time decisioning. You will partner with data scientists, product and policy teams to build scalable PySpark pipelines, ensure data availability, and deliver unified customer views to enable smarter fraud decisions across multiple India locations.
Location: Mumbai, Gandhinagar, Hyderabad
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Manager level

Key Responsibilities

  • •Extensive experience in Python and PySpark for building, optimizing, and maintaining scalable data pipelines using Big Data technologies (e.g., Spark, Hadoop ecosystems).
  • •Design, develop, and manage end-to-end data ingestion and transformation workflows to process large, complex datasets efficiently and make them analytics- and model-ready.
  • •Implement automation and data orchestration to eliminate manual, repetitive processes, including scheduling, monitoring, and recovery of data jobs using Python/PySpark and workflow tools.
  • •Build and maintain high-quality, reliable data foundations that support downstream use cases such as reporting, analytics, machine learning, and fraud detection systems.
  • •Develop data validation, quality checks, and anomaly detection mechanisms to ensure accuracy, consistency, and trust in enterprise datasets.

Key Requirements

  • •Advanced degree, preferably in Statistics/Mathematics, Applied Sciences, Engineering from a premier institute.
Experience:4-6 yearsFraudRiskFinancial servicesBig dataAnalytics
Education:Master's
Skills:CommunicationCollaborationProject managementStakeholder managementProblem-solving
Certifications:SQLPySparkHiveCypherGSQL
Tech Stack:PythonPySparkSQLSparkHadoopHiveGraph databases

Company Brief

Bank of America
One of the largest banking institutions in the United States, providing consumer and commercial banking, wealth management, investment banking, and financial services to individuals, businesses, and institutions globally.
Industry: Banking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Charlotte, United States
Founded: 1904
WebsiteLinkedIn