Assistant Vice President - Business Analytics

Citi; Bengaluru; On-site; INR 1,800,000 - 3,600,000; Full time

Job summary

Citi is seeking an experienced Business Analytics professional for its Fraud Strategy and Analytics team in India. The role focuses on designing, optimizing, and deploying fraud detection strategies across products and channels, balancing losses with customer experience and regulatory compliance.

The incumbent will act as a subject matter expert in fraud strategy, leveraging analytics, rules-based frameworks, and machine learning to improve controls, with mentoring responsibilities for junior

Qualifications

• 6–10 years of analytics experience with a focus on fraud prevention in financial services.
• Strong analytical and business strategy skills.
• Experience presenting to senior stakeholders.
• Project and process management skills.
• Self-starter with strong ownership mindset.

Responsibilities

• Lead the design, development, testing, and deployment of fraud strategies across products or channels.
• Own end-to-end fraud performance management.
• Analyze large, complex datasets to identify fraud patterns and emerging risks.
• Translate analytical insights into actionable fraud controls.
• Conduct testing and post-implementation monitoring.
• Partner with Fraud Operations on alert quality and feedback loops.
• Collaborate with Technology and Data Engineering teams.
• Prepare senior-level dashboards and executive summaries.
• Ensure adherence to internal policies and regulatory requirements.
• Gather and synthesize data from cross-functional stakeholders.
• Identify trends and behavioral insights to inform targeting and segmentation.
• Recommend actions supporting strategy and policy enhancements.
• Continuously improve strategies by exploring new data sources and tools.
• Mentor junior analysts and contribute to team standards.
• Apply sound ethical judgment and manage control issues transparently.

Skills

Fraud analytics

SAS

SQL

Python

Machine Learning

PySpark

Stakeholder comms

Project mgmt

Self-starter

Education

Bachelor's degree in quantitative field

Tools

SAS

Python

SQL

PySpark

Job description

About the Role

AIM Financial Crime and Fraud Prevention Analytics team is seeking an experienced and innovative Business Analytics professional to join our Fraud Strategy and Analytics team to design, optimize, and deploy fraud detection strategies across products and channels. This role partners closely with Fraud Operations, Risk, Product, Technology, and Model Risk teams to support effective fraud loss mitigation, customer experience protection, and regulatory compliance.

AIM Financial Crime and Fraud Prevention Analytics team is seeking an experienced and innovative Business Analytics professional to join our Fraud Strategy and Analytics team to design, optimize, and deploy fraud detection strategies across products and channels. This role partners closely with Fraud Operations, Risk, Product, Technology, and Model Risk teams to support effective fraud loss mitigation, customer experience protection, and regulatory compliance. The incumbent will act as a subject matter expert in fraud strategy, leveraging advanced analytics, rules-based frameworks, and machine learning techniques to balance fraud losses, false positives, and operational efficiency. This is a senior individual contributor role requiring strong disciplinary and industry knowledge, with responsibility for improving analytical processes and contributing to the development and enhancement of fraud strategies. The role requires an understanding of how analytics, operations, and technology capabilities integrate to support broader business objectives. The incumbent is expected to evaluate complex and variable fraud problems, weigh multiple alternatives, and balance competing considerations using diverse data sources. The role may assume informal leadership within project teams, including mentoring junior analysts and contributing to high-impact initiatives.

Key Responsibilities

• Lead the design, development, testing, and deployment of fraud strategies across products or channels
• Own end-to-end fraud performance management
• Analyze large, complex datasets to identify fraud patterns and emerging risks
• Translate analytical insights into actionable fraud controls
• Conduct testing and post-implementation monitoring
• Partner with Fraud Operations on alert quality and feedback loops
• Collaborate with Technology and Data Engineering teams
• Prepare senior-level dashboards and executive summaries
• Ensure adherence to internal policies and regulatory requirements
• Gather and synthesize data from cross-functional stakeholders
• Identify trends and behavioral insights to inform targeting and segmentation
• Recommend actions supporting strategy and policy enhancements
• Continuously improve strategies by exploring new data sources and tools
• Mentor junior analysts and contribute to team standards
• Apply sound ethical judgment and manage control issues transparently

Qualifications

• 6–10 years of experience in analytics with a focus on fraud prevention in financial services
• Strong analytical and business strategy skills
• Experience presenting to senior stakeholders
• Project and process management skills
• Self-starter with strong ownership mindset
• Strong communication and organizational skills
• Technical skills: SAS, SQL, Python, Machine Learning, PySpark

Education

• Bachelor’s degree in a quantitative or related discipline or equivalent experience

This job description provides a high-level overview of the work performed. Other job-related duties may be assigned as required.

Job Family Group

Decision Management

Job Family

Business Analysis

Time Type

Full time

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