Citi Group C10 - Model/Anlys/Valid Anlyst II 

India, Maharashtra, Mumbai 

397121021

Responsibilities

• Develops, enhances, and validates the methods of measuring and analyzing risk, for all risk types including market, credit and operational. Also, may develop, validate and strategize uses of scoring models and scoring model related policies.
• Supports the design, development, delivery and maintenance of best-in-class Risk programs, policies and practices for Risk Management.
• Reviews institutional or retail analytics and Models and other documents to ensure compliance with various regulatory and legal requirements.
• Identifies potential risks and escalates for further review.
• Handles preliminary investigations, assists with reconciliation procedures and prepares routine correspondence.
• Creates and maintains reports for control, tracking, and analysis purposes and ensures appropriate and secure retention of documents.
• Works with more senior staff in investigating and responding to customer and operational complaints.
• Interacts and works with other areas within Risk Management, as necessary.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

As a successful candidate, you’d ideally have the following skills and exposure:

• 2+ years’ experience
• Model validation or model development experience using NLP techniques is preferred
• Experience / familiarity with AI / ML applications in areas such as generative AI, cybersecurity, chatbot, natural language processing, image / voice recognition, robotic process automation
• In-depth technical knowledge of generative AI, common AI/ML techniques and strong understanding of risks associated with generative AI, AI/ML and corresponding mitigants
• Ability to collaborate with peers and stakeholders with various background, and to effectively explain technical terms to audience with different levels of technical knowledge
• Ability to conduct independent research on cutting edge technology about generative AI
• Self-motivated and detail oriented

Education:

• Masters with a specialization in Statistics, Mathematics, Finance or other quantitative discipline - data science, AI/ML, etc. preferred

Time Type:

View the " " poster. View the .

View the .

View the