Business Analytics Int Analyst- C11 - Internal Audit Analytics

Citi; New York (NY); Hybrid; USD 13,000 - 26,000; Full time

Job summary

Citi is seeking a Data Analytics Manager (C11) within Internal Audit Analytics CoE to lead analytics initiatives and automation. You will design and implement analytics across audit lifecycle, leveraging AI tools, LLMs, and advanced automation to expand audit coverage.

The role requires deep analytics competency, data engineering skills, and the ability to work with global audit stakeholders across multiple business areas. Hybrid work arrangement in global operations.

Qualifications

• Masters's degree in a quantitative field.
• Extensive experience in analytics, data engineering, and automation.
• Strong programming and database skills.
• Experience in a global, complex organization is preferred.

Responsibilities

• Participate in audit analytics across the full audit lifecycle.
• Define data needs and design analytics per Citi standards.
• Develop and execute automated audit routines.
• Own end-to-end analytics execution from data sourcing to insights.
• Collaborate with audit teams across Consumer Banking, IB, Risk, Finance, Compliance, and Tech.
• Apply AI tools to automate data gathering and workflow steps.
• Leverage LLMs and AI orchestration to design autonomous analytics pipelines.
• Evaluate, pilot, and deploy AI-driven audit tools within DSI-CoE.

Skills

SQL

Python

Hadoop Ecosystem

SAS

Data Visualization Tools

No-Code / Low-Code Tools

Process Automation Tools

AI Tools

LLMs / AI Orchestration

Data Wrangling

Education

Masters's degree in Computer Science, IT, Math, Statistics, Finance

Tools

Tableau

MicroStrategy

Cognos

KNIME

Airflow

Xcepter

Dataflame

EAP

Hive

PySpark

Apache Spark

Job description

Business Analytics Int Analyst– C11 – Internal Audit Analytics

Location(s)

Bengaluru, Karnataka, India

Job Type

Hybrid

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Job Overview

The Digital Solutions and Innovation (DSI) team within Citi's Internal Audit Innovation function is seeking a Data Analytics Manager (C11) to join the Analytics Centre of Excellence (CoE) team. The CoE collaborates with Internal Audit stakeholders globally to identify opportunities, design, develop, and implement analytics that support audit activities, alongside automation initiatives that promote operational efficiencies and expand audit coverage.

The successful candidate will demonstrate deep proficiency in analytics technology, data engineering, and AI-driven tools, and will possess functional knowledge of banking processes, risk frameworks, and controls. They will be a key contributor to the organisation's forward-looking data strategy within audit — leveraging cutting-edge approaches such as agentic AI, large-scale data extraction, and advanced automation to drive meaningful audit outcomes.

Key Responsibilities:

• Participate in the innovative use of audit analytics across all phases of the audit lifecycle — planning, fieldwork, and reporting.
• Define data needs, design, and execute audit analytics in accordance with the Citi Internal Audit methodology and professional standards.
• Support the development and execution of automated routines to focus and enhance audit testing.
• Execute innovation solutions and pre-defined analytics in accordance with standard DSI-CoE procedures.
• Own the end-to-end execution of selected analytics activities, from data sourcing to final insight delivery.
• Assist audit teams in performing moderately complex audits across business areas including Consumer Banking, Investment Banking, Risk, Finance, Compliance, and Technology.
• Apply working knowledge of AI tools to automate data gathering, anomaly detection and audit workflow steps.
• Leverage large language models (LLMs) and AI orchestration frameworks to design intelligent, autonomous analytics pipelines that reduce manual effort and improve audit coverage.
• Contribute to the evaluation, piloting, and deployment of AI-driven audit tools within the DSI-CoE innovation agenda.
• Provide support to other members of the Analytics and Automation team, and the broader DSI team.
• Develop professional relationships with audit teams to assist in identifying analytics and automation opportunities.
• Build effective working relationships with technology and business teams in areas under audit, facilitating understanding of processes and data sourcing.
• Communicate analytics requirements, methodologies, and results clearly to both technical and non-technical stakeholders through strong verbal and written communication skills.
• Make practical recommendations for analytics enhancements that improve audit quality and efficiency.

• Promote continuous improvement in all aspects of audit automation activities — including the technical environment, software stack, and operating procedures.
• Stay current on emerging technologies, data platforms, and AI advancements relevant to audit analytics and innovation.

Key Qualifications and Competencies

• Minimum 6-8 years of experience as a business or audit analyst, providing analytical techniques and automated solutions to business needs.
• Demonstrated experience working in a global environment within a large, complex organization.
• Excellent technical, programming, and databases skills
• Excellent analytical ability to understand business processes and related risks and controls and develop innovative audit analytics based upon audit needs.
• Strong interpersonal and multicultural skills for interfacing with all levels of internal and external audit and management.
• Self-driven, problem-solving approach. Understanding of procedures and following these to keep quality and security of processes.
• Detail oriented approach, consistently performing diligent self-reviews of work product, and attention to data completeness and accuracy.
• Data literate, with the ability to understand and effectively communicate what data means to technical and non-technical stakeholders.

Proficiency in one or more scripting/programming languages:

• SQL — complex query writing, performance tuning, data extraction
• Python — data wrangling, statistical analysis, automation scripting, OCR
• Hadoop Ecosystem — Hive, PySpark, Apache Spark
• SAS
• Data Visualisation Tools(one or more preferred)--Tableau, MicroStrategy, Cognos
• No-Code / Low-Code Tools (one or more preferred)-KNIME & equivalent
• Process Automation Tools (one or more preferred)-Airflow / Xcepter
• Knowledge of AI tools to automate data gathering, anomaly detection and audit workflow steps.
• Leverage large language models (LLMs) and AI orchestration frameworks to design intelligent, autonomous analytics pipelines that reduce manual effort and improve audit coverage.
• Familiarity with applying AI/ML methodologies to audit and risk analytics use cases.
• Good to have working knowledge of enterprise data extraction platforms such as Dataflame, EAP.

Experience of the following areas would be a plus:

• Business Intelligence including statistics, data modelling, data mining, forecasting, and predictive analytics.
• Application of data science tools and techniques to advance insights from data interrogation.
• Working with non-structured data (e.g., PDF files, OCR techniques).
• Banking domain expertise across: Institutional Clients Group, Consumer, Corporate Functions, Markets, Services, Anti-Money Laundering, Regulatory Reporting.
• Big Data analysis using HUE, Hive, or equivalent tools.
• Project Management / Solution Development Life Cycle experience.
• Exposure to process mining tools: Celonis, UiPath, IBM PM.

Educational Requirements

• Masters's degree in Computer Science, Information Technology, Mathematics, Statistics, Finance, or a related quantitative field.

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Job Family Group:

Decision Management

Job Family:

Business Analysis

Time Type:

Full time

Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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