Senior Vice President-Fraud Analytics, Citi

Senior Vice President-Fraud Analytics

Citi

Location:
India, Pune

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

The role of C14 (people manager) having 15+ data scientists reporting to him/her is a part of AIM Financial Crimes & Fraud Prevention Analytics in Fraud Operation team based in Pune/Bangalore and reporting into the Director/Managing Director, AIM. A primary area of focus for this position will be to lead a team of data scientists responsible for working on various tools and technologies for successful development and implementation of Machine learning (ML) /AI/Gen AI models on different platforms, design, develop and deploy generative AI based solutions for various Fraud prevention area, analyze data, understand fraud pattern , develop models with the objective of achieving overall business goal.

Job Responsibility:

Lead a team of data scientists
Provide technical leadership, mentorship, and guidance
Ensure models are developed and deployed in timely manner with high quality and no errors
Overseeing the end-to-end model development lifecycle
Establish governance frameworks for model development, deployment, and monitoring

Requirements:

Minimum 15+ years of analytics experience in core model development using ML/AI/Gen AI techniques
Sound knowledge of model development stages and industry best practices in real time deployment
Strong understanding of current state of the art ML/AI/Gen AI algorithms
Strong coding skill with experience in Bigdata environments
Strong knowledge of Python, SQL, and Big Data
Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field
At least 8 years of people management experience

Nice to have:

A Ph.D. is a plus
Model execution and governance experience in any domain
Proven track record of building and deploying generative models-based solutions in production environments

Additional Information:

Job Posted:
August 09, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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