Citigroup Recruitment 2026
Citigroup
LocationMumbai, Maharashtra
Experience1–3 Years; Fresh Graduates Welcome
QualificationAny Degree
Key Responsibilities
- Create KYC records using information collected from internal and external sources.
- Complete KYC records within agreed deadlines.
- Interact proactively with relationship management and compliance teams.
- Update KYC systems with relevant information until final approval.
- Research company information using internal and external sources.
- Review company websites and regulatory websites.
- Research information through sources such as Dun & Bradstreet and Google.
- Validate information contained within KYC records and CIP documents.
- Verify company/entity formation documents.
- Review ownership and management information.
- Ensure KYC records comply with local regulatory requirements and global standards.
- Take ownership of KYC records from initiation through approval.
- Maintain the KYC workflow tool accurately.
- Report workflow progress to supervisors.
- Keep mandatory fields, statuses, and comments up to date.
- Meet agreed daily KYC review and completion targets.
- Update workflow databases throughout the day.
- Highlight discrepancies to senior case managers and control teams.
- Escalate negative news and high-risk cases to the relevant teams.
- Assist with departmental projects when required.
- AML stands for Anti-Money Laundering.
- AML controls are designed to help financial institutions identify and manage risks associated with money laundering and related financial crimes.
- The KYC Operations Analyst supports these processes by ensuring that customer and entity information is properly reviewed and documented.
- The job description specifically requires escalation of negative news and high-risk cases to relationship management, PAM, or AML Compliance teams.
- Candidates should understand that an analyst is not necessarily expected to make the final risk decision. Instead, the analyst must identify relevant information and escalate cases according to established procedures.
Skills & Eligibility
- According to the supplied job description, candidates should meet the following requirements:
- Education: Bachelor’s degree, university degree, or equivalent experience.
- Experience: 1–3 years of experience in banking, finance, law, compliance, AML/KYC, or related areas is preferred.
- Fresh Graduates: Fresh graduates are welcome to apply.
- Regulatory Knowledge: Knowledge of European Union regulatory KYC/AML requirements is advantageous.
- Certification: ACAMS certification is an advantage but is not stated as mandatory.
- Shift Flexibility: Candidates should be flexible according to business timings.
- 1. KYC and AML Awareness: Understanding the basic purpose of KYC, AML controls, customer identification, beneficial ownership, risk assessment, and compliance procedures is useful.
- 2. Research Skills: The role requires researching information through company websites, regulatory websites, firm websites, Dun & Bradstreet, Google, and other sources.
- 3. Attention to Detail: KYC records contain important customer and entity information. Candidates must be able to identify inconsistencies and missing information.
- 4. Communication: The analyst will interact with relationship management teams, compliance teams, supervisors, and other stakeholders.
- 5. Analytical Thinking: Candidates should be able to compare information from multiple sources and identify discrepancies or unusual information.
- 6. Organization: The role involves managing multiple KYC records, deadlines, workflow statuses, and documentation.
- 7. Risk Awareness: Candidates should understand when a discrepancy, negative-news finding, or high-risk case needs to be escalated.
- 8. AI Awareness: The job description also mentions an understanding of core AI concepts, machine learning, and generative AI and the ability to identify opportunities where AI can improve business processes.
- An interesting part of this Citi role is the requirement for candidates to demonstrate an understanding of AI concepts, machine learning, and generative AI.
- Candidates should understand basic concepts such as:
- What machine learning is
- What generative AI is
- How LLMs can assist knowledge workers
- Prompt engineering fundamentals
- AI-assisted research and summarization
- Data privacy and confidentiality when using AI tools
- Potential applications of AI in compliance operations
- For interview preparation, candidates should be able to give practical examples of how AI could help automate repetitive compliance processes while keeping human review and appropriate controls in place.
- The job description mentions agreed daily targets and Service Level Agreement (SLA) timeframes.
- This means the analyst will be expected to balance accuracy and productivity.
- Working quickly is not enough if important information is missed. Similarly, spending excessive time on routine cases can affect operational targets.
- Candidates should demonstrate that they can organize their workload, prioritize cases, meet deadlines, and maintain accuracy under pressure.
Note: This job is posted on external sites. Joblit shares the listing for convenience and does not take responsibility for third-party content.
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