Senior VP - Data Science & Modelling

Strong knowledge of current state-of-the-art ML / AI / Gen AI algorithms and Generative AI

Proficiency in Python, SQL, and Big Data

Bachelors degree in finance/engineering/quantitative fields (Statistics, Mathematics) / MBA (Masters degree preferred)

At least 8 years of people management experience

Excellent verbal and written communication skills In this role, you will need to demonstrate strong AI and ML concepts, provide thought leadership for data solutions, and ensure 100% execution accuracy. Your expertise in ML / AI algorithms, coding, and model governance will be crucial for the success of the team. You will be expected to lead, mentor, and manage a high-performing team of data scientists, contributing to the overall business goal of minimizing fraud losses and maximizing operational efficiency. If you require a reasonable accommodation to apply for a career opportunity at Citi, please review the Accessibility options provided. As a C14 role in the AIM Financial Crimes & Fraud Prevention Analytics modelling team at Citi Analytics & Information Management (AIM), your primary responsibility will be to lead a team of 15+ data scientists based in Pune. You will report to the Director/Managing Director, AIM and collaborate with the businesses to identify fact-based opportunities for revenue growth and expense reduction. Your key focus area will be to develop and implement Machine Learning (ML) / AI / Gen AI models on various platforms to mitigate fraud losses and minimize customer impact. Additionally, you will be responsible for model documentation, justifying questions from model risk management (MRM), and leading and managing the entire modelling function within AIM Financial Crimes and Fraud Prevention Analytics. Key Responsibilities:

Lead a team of data scientists in developing and implementing ML / AI / Gen AI models on different platforms

Provide technical leadership, mentorship, and guidance to the team

Stay abreast of the latest advancements, trends, and research in AI and ML space

Establish governance frameworks for model development, deployment, and monitoring

Oversee the end-to-end model development lifecycle and ensure timely deployment with high quality

Collaborate with multidisciplinary teams to drive innovation