Assistant Vice President - Business Analytics

Citibank (Switzerland) AG; Bengaluru; Hybrid; INR 1,400,000 - 2,200,000; Full time

Job summary

Citibank (Switzerland) AG in Bengaluru seeks an Assistant Vice President - Business Analytics to design, deploy and continuously improve fraud detection strategies across products and channels. You will lead analytics initiatives, partner with Fraud Operations, Risk, Product and Technology, and mentor junior analysts while balancing fraud losses with customer experience.

A strong background in SAS, SQL, Python, ML and PySpark, plus 6–10 years of fraud analytics experience in financial services,

Qualifications

• 6–10 years of analytics experience focused on fraud prevention in financial services.
• Proven ability to present to senior stakeholders.
• Strong project and process management skills with self-starter attitude.

Responsibilities

• Lead design, development, testing, and deployment of fraud strategies across products or channels.
• Own end-to-end fraud performance management and dashboards.
• Analyze large datasets to identify fraud patterns and inform targeting.
• Collaborate with Fraud Operations, Tech and Data teams; mentor junior analysts.

Skills

SAS

SQL

Python

Machine Learning

PySpark

Fraud analytics

Stakeholder communication

Education

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

Tools

SAS

SQL

Python

PySpark

Job description

## Assistant Vice President - Business AnalyticsApply: Hybrid: Bangalore Karnataka India: Full time: Posted Today: 26997229**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.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 experienceThis job description provides a high-level overview of the work performed. Other job-related duties may be assigned as required.