Senior Audit Analytics Manager — AI & Automation

Citi

New York (NY)

Hybrid

USD 16,000 - 24,000

Full time

7 days ago
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Job summary

Citi in Bengaluru, India, is hiring a Data Analytics Manager (C11) in Internal Audit Analytics to lead analytics initiatives across the audit lifecycle. The role requires deep expertise in analytics tech, data engineering, and AI tools, and offers exposure to global audit stakeholders.

You will design autonomous analytics pipelines, work with LLMs, and help expand audit coverage while maintaining rigorous controls.

Qualifications

  • Minimum 6–8 years of experience as a business or audit analyst with analytical and automated solutions.
  • Experience in a global, large, complex organization.
  • Strong technical, programming, and databases skills.
  • Ability to understand business processes, risks and controls to design audit analytics.
  • Excellent interpersonal and multicultural collaboration skills.

Responsibilities

  • Participate in audit analytics across planning, fieldwork, and reporting.
  • Define data needs and design audit analytics per methodology.
  • Support automated routines to enhance audit testing.
  • Own end-to-end analytics execution from data sourcing to insights.
  • Collaborate with audit teams across Consumer Banking, Investment Banking, Risk, Finance, Compliance, and Technology.
  • Apply AI tools to automate data gathering and anomaly detection.
  • Leverage LLMs and AI orchestration to build autonomous analytics pipelines.

Skills

SQL
Python
Hadoop
SAS
Tableau
KNIME
Airflow
LLMs
AI tools
Data pipelines

Education

Master's degree in Computer Science/IT/Math/Statistics/Finance

Tools

Dataflame
EAP
Hive
PySpark
Tableau
MicroStrategy
Cognos
KNIME
Airflow
OCR

Job description

Citi in Bengaluru, India, is hiring a Data Analytics Manager (C11) in Internal Audit Analytics to lead analytics initiatives across the audit lifecycle. The role requires deep expertise in analytics tech, data engineering, and AI tools, and offers exposure to global audit stakeholders.

You will design autonomous analytics pipelines, work with LLMs, and help expand audit coverage while maintaining rigorous controls.

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