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Citi Analytics & Information Management (AIM) team is a global community that objectively connects and analyzes information to create actionable intelligence for our business leaders. It identifies fact-based opportunities for revenue growth and expense reduction in partnership with the businesses. The role of C14 (people manager) having 10+ data scientists reporting to him/her is a part of AIM Financial Crimes Data Analytics and Intelligence (FCDAI) team based in Gurugram and reporting into the Director/Managing Director, AIM. The 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 AML Transaction monitoring. The person will lead and manage the FCDAI team within AIM, recruit staff, lead professional development and build a high performing team.
Job Responsibility:
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 AML Transaction monitoring
Lead and manage the FCDAI team within AIM, recruit staff, lead professional development and build a high performing team
Act as Strategic Leader: Incumbents would be primarily responsible for supporting Business Execution activities for Independent Compliance Risk Management (ICRM) AML organization, implement analytical solutions
Maintain an industry leading knowledge of the tools, systems, and processes available for best-in-class AML Detection and Monitoring
Lead as SME in the area of ML/AI/Gen AI
Provide technical leadership, mentorship, and guidance to a team of model developers
Ensuring 100% execution accuracy
Provide thought leadership for all data solutions that include designing, developing, and implementing Machine Learning/AI/Gen AI solutions that meet and exceed expectations
Communicate complex analytical concepts and results to both technical and non-technical audiences
Establish governance frameworks for model development, deployment, and monitoring to meet MRM and Fair Lending guidelines
Continuously evaluate and improve model monitoring & governance processes to adapt to changing business needs and emerging risks
Overseeing the end-to-end model development lifecycle from data collection and preprocessing to model building, validation, and deployment
Ensure models are developed and deployed in timely manner with high quality and no errors
Strong collaboration among multidisciplinary teams to drive innovation
Manage career progression, conflict management, performance management, provide coaching, mentorship, and technical guidance for a team of 10+ data scientists
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 with good understanding of pros and cons of different modelling techniques
Strong understanding of current state of the art ML/AI/Gen AI algorithms
Prior experience in AML domain, Mantas, or any other AML Transaction Monitoring systems will be preferred
Strong coding skill with experience in Bigdata environments
Strong knowledge of the pros, cons, and usage of various ML / DL applications (such as Keras, TensorFlow, Python Scikit, etc.)
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. A Ph.D. is a plus
Model execution and governance experience in any domain will be preferable
Proven track record of building and deploying generative models-based solutions in production environments
Proficient in proactive risk mitigation, managing project pipelines to ensure prioritization and required resourcing mix
At least 8 years of people management experience
Excellent verbal and written communication skills
Strong capability to influence business outcomes / decisions in collaboration with AIM leadership & business stakeholders
Strong coordination and project management skills
Ability in strategic thinking and the ability to frame business problems
Excellent analytical, technical, and/or statistical skills with proven ability to translate large volumes of data