Citi Group Fraud Intelligence Lead Analyst/Data Engineer 

United States, Florida, Jacksonville 

510113299

The Specialized Analytics Sr. Mgr accomplishes results through the management of professional team(s) and department(s). Integrates subject matter and industry expertise within a defined area. Contributes to standards around which others will operate. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function. Requires basic commercial awareness. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Has responsibility for volume, quality, timeliness and delivery of end results of an area. May have responsibility for planning, budgeting and policy formulation within area of expertise. Involved in short-term planning resource planning. The team is Internal Fraud Intelligence that focuses on conducting data analysis to identify fraud risk and trends, fraud scenario design and optimization, analytical process and data quality management, stakeholder management and reporting.Responsibilities:

• Lead internal fraud analytics in NAM, engage and collaborate with business, fraud and control stakeholders, use advanced analytics to proactively identify fraud risk and trends.

• Own the knowledge and quality of internal fraud detection data in NAM. Collaborate with technology to implement the right analytics platform, data structure, pipeline and transformation in Citi Bigdata ecosystem.

• Extracts knowledge and insights from data in order to design complex internal fraud detection solution through a range of data preparation, modeling, and visualization techniques, including predictive analysis, pattern recognition

• and Machine Learning. Key skills include association rule learning, cluster analysis, anomaly detection, data analysis and visualization (e.g., PowerBI, QIik, Tableau), object-oriented programming (Python, Spark, SAS).

• Be the regional analytics point person for stakeholder management and communication, including regional assurance review such as Internal/ External Audit review, Compliance Assurance review.

• Support Internal Fraud Governance team to design and execute analytical process such as change management.

Qualifications:

• Bachelor's Degree required in statistics, mathematics, physics, economics, or other analytical or quantitative discipline. Master's Degree or PhD preferred.

• 5-8 years of experience in data analytics, modeling and analytical project implementation.

• Experience working with:

• Big Data environment with hands on coding experience within various traditional (SAS, SQL, etc.) and/or open source (i.e. Python, Impala, Hive, etc.) tools.

• Traditional and advanced machine learning techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests, etc.

  Data visualization tools, such as Tableau

  Excellent quantitative and analytic skills; ability to derive patterns, trends and insights, and perform risk/reward tradeoff 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

  Provide analytic thought leadership

  Manage project planning effectively

  Creative problem solving skills

  Deep understanding of data management such as data pipeline and data quality; Stakeholder management including internal audit, regulators.

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

* Must have flexibility to attend meetings outside of normal business hours

Anticipated Posting Close Date:

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