Business Analytics Intermediate Analyst - Internal Fraud Analytics

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Job Overview

Job Description

As part of the Internal Fraud Analytics, this role executes the fraud analytics and strategies supporting Citi’s North American internal fraud detection. This includes leveraging data to identify internal fraud opportunities, designing and implementing strategies to detect internal fraud and violation of code conduct.

This role partners closely with Internal Fraud Operations, Prevention team and technology partners to align of business and technology direction in order to determine potential and existing internal fraud impacts and carry out whole cycle of implementation. Requires good analytical skills to filter, prioritize and validate potentially complex and dynamic material from multiple data sources. Excellent communication and diplomacy skills are required.

Responsibilities:

• Leverage data and advanced analytics to derive patterns, trends and insights, and perform risk/reward trade-off analysis.
• Ownership and management of internal fraud rules, data sources, and evaluation of ETL, execution performance and gap analysis.
• Drive alignment across functional teams by interacting with data engineers, analysts, and business leaders to ensure shared understanding of data logic, and implementation specifics.
• Ownership of controls and governance processes, identify potential process gaps and opportunities for improving effectiveness.
• Generate and manage regular and ad-hoc reporting to enable effective investigation and identification of detection possibilities.
• Build effective relationships within and outside the internal fraud team to help ensure successful and timely execution of key portfolio priorities.

Qualifications:

• Bachelor’s Degree required in statistics, economics, computer science, or other analytical or quantitative discipline.
• 3+ years in analytical field.
• Solid SQL skills and hands on coding experience and data structure/process understanding.
• Experience working with Big Data Environment Open Source (i.e. Python, Impala, Hive, etc.) tools and scripting language are preferred.
• Excellent exploratory analytic skills: hands-on data validation skills and business analysis acumen to derive patterns and insights,  and perform risk/reward trade-off analysis.
• Good written and verbal communication skills, with ability to connect analytics to business impacts; comfortable presenting to peers and management.
• Extremely detail-oriented; intellectual curiosity
• Ability to multi-task and work against tight deadlines.
• Ability to work independently with baseline instructions/guidelines from management

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

Decision Management

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Job Family:

Business Analysis

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Time Type:

Full time

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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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