Citi Group Fraud Analytics Intermediate Analyst 

United States, Texas, San Antonio 

123636982

Responsibilities:

• Support implementation of fraud risk strategies for retail bank, small business, and commercial bank credit with decision engine systems in accordance with defined change control procedures and controls.
• Assist in the management of business requirements, testing, and implementation of projects impacting fraud decision systems as well as system incidents.
• Refine framework for change control risk assessment including evaluation of control gaps within existing processes.
• Support Authorization Governance process, evaluating historical performance and emerging changes in the environment.
• Build effective relationships within and outside the Fraud organization to help ensure successful and timely execution of key portfolio priorities.
• Identify data patterns & trends, and provide insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.
• Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings
• Collaborate with cross-functional teams to provide strategy recommendations based on data and trend analysis and implement mitigation strategies.
• Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities
• Work closely with internal and external business partners in building, implementing, tracking, and improving fraud capture decision strategies.
• May be involved in exploratory data analysis, confirmatory data analysis and/or qualitative analysis
• Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets, by driving compliance with applicable laws, rules, and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing, and reporting control issues with transparency.
• Generate and manage regular and ad-hoc reporting to enable effective monitoring and identification of emerging trends.

Qualifications:

• Bachelor’s Degree required in statistics, mathematics, physics, economics, or other analytical or quantitative discipline.
• 2+ years of experience in analytics, modeling, or relevant area in a Big Data environment with hands on coding within various traditional (SAS, SQL, etc.) and/or open source (i.e. Python, Impala, Hive, etc.) tools.
• Experience using traditional and advanced machine learning techniques and algorithms such as Logistic Regression, Gradient Boosting, Random Forests, etc. as well as Data visualization tools such as Tableau
• Excellent quantitative and analytic skills; ability to derive patterns, trends and insights, and perform risk/reward trade-off analysis.
• Experience analyzing large datasets; applying mathematical, statistical and quantitative analysis techniques to perform complex analyses and data mining.
• Ability to build effective presentations to communicate analytical findings to a wide array of audiences.
• Effective cross-functional project, resource, and stakeholder engagement and management, with ability to effectively drive collaboration across teams.
• Ability to make decisions independently with minimal guidance from management.

Education:

• Bachelors/University degree, Master's degree preferred

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

Anticipated Posting Close Date:

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