Model/anlys/valid Intmd Anlyst

Citi’s **Risk Management** organization oversees Citi’s risk governance framework and risk appetite, ensures all risks generated by the firm’s businesses are measured, reviewed, and monitored on an ongoing basis.

We’re currently looking for a high caliber professional to join our team as **Manager, Model Validation - Hybrid**based in **Mumbai/ Bangalore** - In**dia**.**. Being part of our team means that we’ll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future. For instance:

- Citi provides programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling and more. Coverage varies by country.
- We empower our employees to manage their financial well-being and help them plan for the future.
- Citi provides access to an array of learning and development resources to help broaden and deepen your skills and knowledge as your career progresses.
- We have a variety of programs that help employees balance their work and life, including generous paid time off packages.

In this role, you’re expected to:
This position is part of the Artificial Intelligence (AI) Review and Challenge Group within Citi's Model Risk Management organization. This position will perform independent review and effective challenge of all lifecycle activities of Artificial Intelligence (AI) / Machine Learning (ML) non-model objects used in Citi. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.

**Responsibilities**
- Independently validate Artificial Intelligence (AI) / Machine Learning (ML) non-model objects including unsupervised learning models, Natural Language Processing models and Generative AI models.
- Develop and implement Generative AI solutions to enhance efficiency of validation activities
- Supports the design, development, delivery and maintenance of best-in-class Risk programs, policies and practices for Risk Management.
- Identifies potential risks and escalates for further review.
- 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.
- 3+ years’ industry experience
- Model development or validation experience using NLP techniques is mandatory.
- 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. Development and implementation experience with Generative AI solution is a plus.
- Self-motivated and detail oriented

**Education**:

- Master degree and above with a specialization in Statistics, Mathematics, Finance or other quantitative discipline - data science, AI/ML, etc.preferredJob Family Group:
Risk Management
- **Job Family**:
Risk Analytics, Modeling, and Validation
- Time Type:
Full time
- Most Relevant Skills

Analytical Thinking, Business Acumen, Credible Challenge, Data Analysis, Governance, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Statistics.
- Other Relevant Skills

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

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