Jobs
Benefits & Perks
•Healthcare
•Pension Plan
•Paid Time Off
•Parental Leave
•Learning Budget
•Mental Health
•Healthcare
•Parental Leave
•Learning
•Mental Health
Required Skills
AI/Machine Learning
Risk Management
Governance
Compliance
Data Analysis
Performance Testing
Overview
The AI Governance and Test Engineer plays a critical role in ensuring the responsible and effective deployment of AI solutions. This position is central to upholding regulatory compliance, meticulously monitoring the performance and accuracy of AI models, and conducting rigorous performance testing to validate the reliability and efficiency of AI objects throughout their lifecycle. The successful candidate will bridge the gap between AI development, operational excellence, and robust governance frameworks.
Key Responsibilities
AI Governance & Compliance
- Proactively track and manage critical dates related to AI model lifecycles, including limitation expirations, policy decisions (PDs), and scheduled model updates.
- Prepare, review, and submit all necessary risk artifacts, ensuring strict adherence to internal policies and external regulatory requirements.
- Coordinate and facilitate review sessions with Model Risk Management (MRM) and other pertinent stakeholders to ensure AI models consistently meet established governance, risk, and compliance standards.
AI Maintenance & Monitoring
- Conduct in-depth data analysis of AI model usage patterns, performance metrics, and operational data to identify trends, anomalies, and areas for continuous improvement.
- Perform detailed manual Subject Matter Expert (SME) reviews of AI object outputs to rigorously assess and confirm their accuracy, relevance, and alignment with defined business objectives.
- Oversee and coordinate the implementation of updates to AI objects, aiming to minimize disruption while maximizing effectiveness and efficiency.
- Execute fine-tuning processes for AI objects to optimize their performance, accuracy, and responsiveness based on ongoing monitoring results, feedback loops, and evolving requirements.
AI Performance Testing
- Design, develop, and execute comprehensive performance tests for AI objects to evaluate their scalability, responsiveness, stability, and resource utilization under various load or hyper-parameter conditions.
- Analyze detailed test results to pinpoint performance bottlenecks, potential failure points, and areas for optimization within AI systems.
- Collaborate closely with AI development teams to implement performance improvements, conduct re-testing, and ensure solutions meet or exceed established performance benchmarks and non-functional requirements.
Qualifications
- Proven experience in AI/Machine Learning model development, operations, or testing.
- Strong understanding of AI/ML lifecycle, concepts, and deployment challenges.
- Familiarity with risk management, governance, and compliance frameworks, preferably within a regulated industry.
- Proficiency in data analysis tools and techniques, with the ability to interpret complex datasets.
- Experience with performance testing methodologies and tools.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication, collaboration, and stakeholder management abilities.
- Ability to work independently and as part of a cross-functional team in a fast-paced environment.
What we’ll provide you
By joining Citi Belfast, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:
- 27 days annual leave (plus bank holidays)
- A discretional annual performance related bonus
- Private Medical Care & Life Insurance
- Employee Assistance Program
- Pension Plan
- Paid Parental Leave
- Special discounts for employees, family, and friends
- Access to an array of learning and development resources
Visit our Global Benefits page to learn more.
Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.
Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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.
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About Citigroup

Citigroup
PublicCitigroup Inc. or Citi is an American multinational investment bank and financial services company based in New York City. The company was formed in 1998 by the merger of Citicorp, the bank holding company for Citibank, and Travelers; Travelers was spun off from the company in 2002.
10,001+
Employees
New York City
Headquarters
Reviews
3.3
4 reviews
Work Life Balance
3.0
Compensation
3.2
Culture
2.8
Career
2.5
Management
2.7
35%
Recommend to a Friend
Pros
Compensation increases for investment banking roles
Legitimate investment banking employer
Internship opportunities available
Cons
Unclear career progression paths
Limited meaningful experience in internships
Compensation raises lower than competitors
Salary Ranges
28 data points
Mid/L4
Senior/L5
Staff/L6
Mid/L4 · Business Risk Intermediate Analyst
1 reports
$77,165
total / year
Base
$67,100
Stock
-
Bonus
-
$77,165
$77,165
Interview Experience
5 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 40%
Negative 60%
Interview Process
1
Application Review
2
Recruiter Screen
3
Programming Assessment
4
Hiring Manager Interview
5
Panel/Superday Interviews
6
Final Decision
Common Questions
Technical Knowledge
Case Study
Behavioral/STAR
Past Experience
Culture Fit
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