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Senior Fraud MIS and Analytics Analyst for Commercial Cards

ExperiencedNo visa sponsorship
Citi logo

at Citi

Bulge Bracket Investment Banks

Posted 8 days ago

No clicks

**Senior Fraud MIS and Analytics Analyst for Commercial Cards:** Oversee day-to-day fraud analytics activities, ensuring data-driven insights for Citi's commercial card division. Key responsibilities include analytical oversight, execution support, governance, and operational coordination. Requires Bachelor's degree in relevant field, 2-4 years of experience in fraud analytics, and strong skills in SQL, Excel, and at least one analytics tool (Python, R, SAS). Willingness to work shifting schedules is essential.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Full Job Description

Senior Fraud MIS and Analytics Analyst for Commercial Cards

Apply (opens in new window)
Save

Job Req Id:

26964416

Location(s):

Kuala Lumpur, Kuala Lumpur, Malaysia

Job Type:

Hybrid

Posted:

Mai. 15, 2026

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, youll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

Role Overview

The Senior Fraud Analytics Analyst is responsible for overseeing day-to-day fraud analytics activities, ensuring data-driven insights are accurately generated and applied. The role serves as a key point of control within the team, providing guidance, validation, and support across analytical workflows while maintaining strong governance standards.

Key Responsibilities

Analytical Oversight

  • Review and validate analytical outputs to ensure quality, consistency, and accuracy
  • Support identification of fraud trends, patterns, and anomalies through data analysis
  • Provide guidance on analytical approaches and methodologies

Execution Support & Flexibility

  • Actively contribute to analytical activities where required, ensuring continuity and operational resilience
  • Support team members in handling complex or high-risk scenarios
  • Provide subject matter expertise across fraud analytics processes

Governance & Control

  • Ensure adherence to established processes, policies, and control frameworks
  • Monitor outputs for potential risks or inconsistencies and initiate corrective actions
  • Support audit and compliance activities through accurate documentation and validation

Operational Coordination

  • Support shift-based coverage ensuring continuity of operations across defined business hours
  • Coordinate with team members to manage workload effectively
  • Escalate key issues or risks as appropriate

Work-hour requirement

  • This role operates within a global support model and requires flexibility to work in rotational shifts to meet business and operational coverage requirements.

Qualifications

  • Bachelors degree in Data Science, Statistics, Finance, Computer Science, or a related field.
  • 2-4 years of experience in fraud analytics, fraud risk operations, or MIS reporting or similar within banking, fintech, or payment services.
  • Willing to work in shifting schedule, 24/7 with possible weekends and holdays

Skills

  • Strong experience in fraud analytics or fraud risk management
  • Ability to review, validate, and interpret complex analytical outputs
  • Strong hands-on skills in SQL, Excel, and at least one analytics or scripting tool (e.g., Python, R, SAS).
  • Familiarity with BI tools such as Tableau, Power BI, or similar is preferred.
  • Experience with fraud detection platforms or rule engines.

------------------------------------------------------

Job Family Group:

Operations - Services

------------------------------------------------------

Job Family:

Fraud Operations

------------------------------------------------------

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 (opens in new window).

View Citis EEO Policy Statement (opens in new window) and the Know Your Rights (opens in new window) poster.

Apply (opens in new window)
Save

Senior Fraud MIS and Analytics Analyst for Commercial Cards

Compensation

Not specified

City: Not specified

Country: Not specified

Citi logo
Bulge Bracket Investment Banks

8 days ago

No clicks

at Citi

ExperiencedNo visa sponsorship

**Senior Fraud MIS and Analytics Analyst for Commercial Cards:** Oversee day-to-day fraud analytics activities, ensuring data-driven insights for Citi's commercial card division. Key responsibilities include analytical oversight, execution support, governance, and operational coordination. Requires Bachelor's degree in relevant field, 2-4 years of experience in fraud analytics, and strong skills in SQL, Excel, and at least one analytics tool (Python, R, SAS). Willingness to work shifting schedules is essential.

Full Job Description

Senior Fraud MIS and Analytics Analyst for Commercial Cards

Apply (opens in new window)
Save

Job Req Id:

26964416

Location(s):

Kuala Lumpur, Kuala Lumpur, Malaysia

Job Type:

Hybrid

Posted:

Mai. 15, 2026

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, youll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

Role Overview

The Senior Fraud Analytics Analyst is responsible for overseeing day-to-day fraud analytics activities, ensuring data-driven insights are accurately generated and applied. The role serves as a key point of control within the team, providing guidance, validation, and support across analytical workflows while maintaining strong governance standards.

Key Responsibilities

Analytical Oversight

  • Review and validate analytical outputs to ensure quality, consistency, and accuracy
  • Support identification of fraud trends, patterns, and anomalies through data analysis
  • Provide guidance on analytical approaches and methodologies

Execution Support & Flexibility

  • Actively contribute to analytical activities where required, ensuring continuity and operational resilience
  • Support team members in handling complex or high-risk scenarios
  • Provide subject matter expertise across fraud analytics processes

Governance & Control

  • Ensure adherence to established processes, policies, and control frameworks
  • Monitor outputs for potential risks or inconsistencies and initiate corrective actions
  • Support audit and compliance activities through accurate documentation and validation

Operational Coordination

  • Support shift-based coverage ensuring continuity of operations across defined business hours
  • Coordinate with team members to manage workload effectively
  • Escalate key issues or risks as appropriate

Work-hour requirement

  • This role operates within a global support model and requires flexibility to work in rotational shifts to meet business and operational coverage requirements.

Qualifications

  • Bachelors degree in Data Science, Statistics, Finance, Computer Science, or a related field.
  • 2-4 years of experience in fraud analytics, fraud risk operations, or MIS reporting or similar within banking, fintech, or payment services.
  • Willing to work in shifting schedule, 24/7 with possible weekends and holdays

Skills

  • Strong experience in fraud analytics or fraud risk management
  • Ability to review, validate, and interpret complex analytical outputs
  • Strong hands-on skills in SQL, Excel, and at least one analytics or scripting tool (e.g., Python, R, SAS).
  • Familiarity with BI tools such as Tableau, Power BI, or similar is preferred.
  • Experience with fraud detection platforms or rule engines.

------------------------------------------------------

Job Family Group:

Operations - Services

------------------------------------------------------

Job Family:

Fraud Operations

------------------------------------------------------

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 (opens in new window).

View Citis EEO Policy Statement (opens in new window) and the Know Your Rights (opens in new window) poster.

Apply (opens in new window)
Save