Job Description

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 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. The person will also be responsible for collaborate with model implementation team, responsible for model documentation , justifying questions from model risk management (MRM) etc. while maintaining the flexibility to switch amongst work streams based on business needs. The person will lead and manage the entire fraud operation function within AIM Financial Crimes and Fraud Prevention Analytics , recruit staff, lead professional development and build an effective high performing team.

Summary:

Lead as SME in the area of ML/AI/Gen AI. The person should have strong AI and ML concepts and understand Pros and Cons of AI/ML algorithms for better model selection. Articulate complex AI and ML concepts in a clear manner to diverse audiences including business partners and peers. Stay abreast of the latest advancements, trends and research in AI and ML space. Knowledge of domain-specific NLP applications and use case across various business problems. Lead a team of data scientists with primary responsibility of working on various tools and technologies for successful development and implementation of ML /AI/Gen AI models on different platforms. Provide technical leadership, mentorship, and guidance to a team of model developers. Ensuring 100% execution accuracy. RAG Frameworks - Able to customize and fine-tune existing RAG frameworks or design new RAG to meet project requirements .Must be able to provide thought leadership for all data solution that includes designing, developing, and implementing Machine Learning/AI/Gen AI solutions that meet and exceed expectations. Extensive knowledge on code and execute the current state of art ML/AI/Gen AI algorithms and Generative AI across different coding platform. Have extensively worked on advanced programming language & databases (SQL, NoSQL, Teradata, etc.), Python (NumPy, Pandas, etc.), bigdata (Hue, Impala, Ozzie, etc.) and Spark. 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. Familiarity with regulatory frameworks and industry standards related to model governance and risk management, such as GDPR, CCPA, or Basel III. Strong understanding of MRM guidelines for ML/AI/Gen AI model approvals and ongoing model validation Understand the complexities of data analysis, machine learning and model development to guide team effectively. 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. This role is a people manager role. The role requires to lead 15+ data scientists , some of them could be manager of managers, manage their career progression, conflict management, performance management, provide coaching, mentorship, and technical guidance.

Knowledge and Experience:

Minimum 12+ 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. Recommend appropriate ML/AI/Gen AI algorithms for business solutioning. Strong coding skill with experience in Bigdata environments, intellectual curiosity to stay abreast of technological and data sciences advances. 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 particularly using RAG frameworks, few shot prompts, etc. Proficient in proactive risk mitigation, manage project pipeline to ensure prioritization and required resourcing mix. At least 8 years of people management experience Consistently sets high performance standards with right mentorship & coaching interventions for team. Ownership & accountability of career progression, performance management, IDP and conflict management. Retain talent, manage attrition, and career mobility. Successful candidate will have a demonstrable analytics problem solving and has the ability to deliver projects in a challenging environment. Excellent verbal and written communication skills. Communicates seamlessly across team members / stakeholders / cross-functional teams. Strong capability to influence business outcomes / decisions in collaboration with AIM leadership & business stakeholders. Demonstrate thought leadership in partner meetings while leading from the front to drive innovative solutions with excellent stakeholder management. Strong coordination and project management skills; must be able to define business requirements and create robust technical and process documentation to support activities. Identify right skillset requirement for business needs, effective utilization of analytics resources. 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. An influencer who communicates clearly and frequently to both technical analysts and non-technical business leaders. Intellectually curious, consistently seeking and developing new opportunities.

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Job Family Group:

Decision Management
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Job Family:

Specialized Analytics (Data Science/Computational Statistics)
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Time Type:

Full time
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Most Relevant Skills

Please see the requirements listed above.
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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.
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