AVP - Data Science - Model Development - Pune/Bangalore

Key Skills

Aartificial intelligence, Algorithms, Analytical and Problem solving, Data science techniques, Effective communication skills, Machine learning techniques, Python Programming

Job Description

Citi is looking for an energetic, motivated professional to join its Fraud Analytics team. As part of the Global Fraud Analytics team, this role is responsible for the fraud model development supporting Citi’s North American Cards business.

The Specialized Analytics Sr. Analyst is a strategic professional who closely follows latest trends in own field and adapts them for application within own job and the business. Excellent communication skills required in order to negotiate internally, often at a senior level. Developed communication and diplomacy skills are required in order to guide, influence, and convince others, in particular colleagues in other areas.

Key Responsibilities –

• Design, Develop and implement Fraud detection models using statistical, machine learning, and AI techniques.
• Evaluate and select appropriate algorithms and modeling techniques based on the nature of the business problem and available data.
• Perform hyperparameters tunning to optimize model performance.
• Create and select relevant feature extraction that improves accuracy and robustness of fraud detection models.
• Conduct rigorous validation and testing of models to ensure they meet performance criteria and risk management requirements.
• Use cross validation and other techniques to assess model generalization.
• Take end to end ownership of model development lifecycle start with data preparation, model development, model deployment and model documentation for appropriate approvals.
• Mentor junior team members and provide technical guidance.
• Write and maintain comprehensive documentation for models and algorithms.
• Present findings and project progress to stakeholders and management.
• Manage Model governance related responsibilities.

Qualifications –

• Bachelor’s or master’s degree in Statistics, Economics, computer science or a related field. A Ph.D. is a plus.
• 8+ years of experience in Model development and governance.
• Strong proficiency in Python and AI/ML techniques.
• Proven track record of building and deploying Machine learning models in production environments.
• Solid understanding of machine learning algorithms, data structures, and software engineering principles.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Preferred Skills –

• Model development with explainability.
• Familiarity with Model Risk Management and regulatory approvals.
• Contributions to open-source projects or published research in top-tier conferences/journals.