Citi Group AVP - Data Science Model Development Pune/Bangalore 

India, Karnataka, Bengaluru 

425890644

• Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients.
• Citi’s Mission and Value Proposition explains what we do and Citi Leadership Standards explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients’ and the public’s trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve. Our Leadership Standards is a common set of skills and expected behaviors that illustrate how our employees should work every day to be successful and strengthens our ability to execute against our strategic priorities.
• Diversity is a key business imperative and a source of strength at Citi. We serve clients from every walk of life, every background and every origin. Our goal is to have our workforce reflect this same diversity at all levels. Citi has made it a priority to foster a culture where the best people want to work, where individuals are promoted based on merit, where we value and demand respect for others and where opportunities to develop to are widely available to all.

• 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.

• 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.

• 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.

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