招聘
About CITI Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have 200+ years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities.
About AIM:
Analytics and Information Management (AIM) is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast-growing organization working with Citi businesses and functions across the world.
What do we do:
We simplify, streamline and automate controls—strengthening our ability to prevent issues. Control Automation Team automates manual controls through data driven capabilities using industry standard tools & techniques in collaboration with Business, Internal Audit, Internal Citi Risk and Control and Technology. This team work with business for audit, by Identifying cases on control gaps, policy breaches and providing data evidence for audit completion.
Job Description Summary:
- Assist in designing and developing Generative AI solutions under the guidance of senior team members.
- Support the analysis of business processes to contribute to scalable and efficient technology solutions.
- Collaborate in building and maintaining data and technology pipelines.
- Learn and assist in implementing reinforcement learning feedback loops to improve AI agent performance.
- Participate in the development and deployment of AI/ML models in compliance with governance frameworks.
- Gain exposure to Retrieval-Augmented Generation (RAG) frameworks and contribute to their customization.
- Support the implementation of ML/AI algorithms and frameworks under supervision.
- Work closely with multidisciplinary teams to foster innovation and deliver actionable insights.
Qualifications:
- Proficiency in Python language and its frameworks.
- Basic understanding of Machine Learning (ML) and Deep Learning (DL) concepts.
- Familiarity with Generative AI techniques and their applications.
- Interest in Natural Language Processing (NLP) and Computer Vision (CV).
- Willingness to learn and work with Reinforcement Learning (RL) and fine-tuning large language models (LLMs).
- Basic understanding of cloud platforms.
- Eagerness to learn and grow in a collaborative environment.
Job Family Group:
Decision Management
Job Family:
Data/Information Management
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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关于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+
员工数
New York City
总部位置
$86B
企业估值
评价
3.7
10条评价
工作生活平衡
4.0
薪酬
2.8
企业文化
4.2
职业发展
3.5
管理层
3.3
68%
推荐给朋友
优点
Good work-life balance
Supportive management and colleagues
Good benefits
缺点
Low/uncompetitive salary and pay
Poor management and lack of direction
Heavy workload and long hours
薪资范围
38个数据点
Mid/L4
Senior/L5
Staff/L6
Mid/L4 · Business Risk Intermediate Analyst
1份报告
$77,165
年薪总额
基本工资
$67,100
股票
-
奖金
-
$77,165
$77,165
面试经验
3次面试
难度
3.3
/ 5
时长
14-28周
体验
正面 0%
中性 33%
负面 67%
面试流程
1
Application Review
2
HR Screen
3
Technical Assessment
4
Hiring Manager Interview
5
Final Round Interview
6
Offer Decision
常见问题
Technical Knowledge
Behavioral/STAR
Past Experience
Problem Solving
Culture Fit
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