citi.com hiring for Gen AI Validation Engineer, Officer (Hybrid) – Hybrid

citi.com hiring for Gen AI Validation Engineer, Officer (Hybrid) – Hybrid

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citi.com is hiring for the profile of Gen AI Validation Engineer, Officer (Hybrid) . Graduates are eligible to apply for this position. This profile is open for the location of Bengaluru . Complete information about the hiring is mentioned below:

Job Overview

Company Nameciti.com
Profile Hiring forGen AI Validation Engineer, Officer (Hybrid)
RoleMachine Learning Engineer
SalaryAs per Market Standards
Work ProfileHybrid
EligibilityExperienced Jobs
LocationBengaluru
Job CategoryData Science & Analytics
Sub CategoryData Science & Machine Learning
Job IDNX13750
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This position is part of the Artificial Intelligence (AI) Review and Challenge Group within Citi’s Model Risk Management organization. This Team is responsible for review / validation of all AI non-models at Citi across markets, lines of business and functions; and also across the spectrum of AI sub-fields: Generative AI, Agentic AI, Natural Language Processing, Computer Vision, Recommender systems, Anomaly detection etc.

Responsibilities:

  • Key responsibility will be to perform independent review and conduct effective challenge across the lifecycle of Artificial Intelligence (AI) / Machine Learning (ML) non-model objects
  • Ensure adherence to applicable policies, procedure, templates, and testing guidance to manage the risk of all aspects of the AI/ML non-model objects
  • Drive constructive engagements with key stakeholders such as AI/ML Sponsors / Developers, MRM Governance, AI-CoE, Internal Audit, and regulators regarding AI/ML related matters
  • Support in satisfying the requirements for all internal / external regulatory exams
  • Develop, enhance, and validate the methods of measuring and analyzing risk, for all risk types including market, credit and operational
  • Support the design, development, delivery and maintenance of best-in-class Risk programs, policies and practices for Risk Management
  • Contribute to strategic, cross-functional initiatives within the model risk management organization

Qualifications:

  • Advanced degree (Master’s and above) is required in the fields of mathematics, statistics, computer science, engineering, Data Science, AI/ML, etc.
  • 4+ years’ analytics experience in financial services or related industries with minimum 2 years in Artificial Intelligence (AI) / Generative AI / Agentic AI / Machine Learning (ML) area
  • In-depth technical knowledge of common AI/ML techniques
  • Clear and concise written and oral communication skills
  • Self-motivated and detail oriented
  • Demonstrated project management and organizational skills and capability to handle multiple projects at one time
  • Strong stake-holder management skills

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Job Family Group:

Risk Management

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Job Family:

Model Validation

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Time Type:

Full time

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Most Relevant Skills

Analytical Thinking, Credible Challenge, Data Analysis, Governance, Policy, Procedure, and Regulation, Risk Management Lifecycle.

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Other Relevant Skills

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

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

 

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

To apply for this job please visit citi.wd5.myworkdayjobs.com.

How to Apply for citi.com Recruitment

To apply for this job, interested candidates must follow the procedure outlined below:

Click Apply Here or Employer Contact Details. Both buttons will take you to the official application page after email verification.

IMPORTANT INFORMATION

1. Never pay any amount for getting a job.
2. Apply before the hiring closes or the employer stops accepting applications.

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