Fraud Business Analytics Senior Analyst

Job Overview

As part of the Financial Crimes and Fraud Prevention organization, this role manages and executes the first–party fraud analytics and strategies supporting Citi’s North American and global credit card businesses. This includes leveraging data to identify fraud trends and designing and implementing strategies to prevent and mitigate fraud attacks across the full fraud lifecycle, including application and synthetic  and sophisticated new attack schemes.

This role partners closely with Credit Risk Policy, Fraud Policy, Operations, Technology and various partners to stay apprised of business and technology direction and determine potential and existing fraud impacts.

• Supports implementation of fraud risk strategies for consumer and commercial card businesses with decision engine systems in accordance with defined change control procedures and controls.
• Assists in the management of business requirements, testing, and implementation of projects impacting fraud decision systems as well as system incidents.
• Refines framework for change control risk assessment including evaluation of control gaps within existing processes.
• Supports Governance process, evaluating historical performance and emerging changes in the environment.
• Builds effective relationships within and outside the Fraud organization to help ensure successful and timely execution of key portfolio priorities.
• Identifies data patterns & trends, and provides insights to enhance business decision‑making capability in business planning, process improvement, solution assessment, etc.
• Translates data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicates findings clearly and effectively to business partners and senior leaders.
• Collaborates with cross‑functional teams to provide strategy recommendations based on data and trend analysis and implement mitigation strategies.
• Continuously improves processes and strategies by exploring and evaluating new data sources, tools, and capabilities.
• Works 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 assesses 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.
• Generates and manages regular and ad‑hoc reporting to enable effective monitoring and identification of emerging trends.

• Bachelor’s Degree required/Master’s preferred in statistics, mathematics, physics, economics, or other (data) analytical or quantitative discipline.
• 4+ years of experience required.
• 3+ 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.
• 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/data analysis techniques to perform complex analyses and data mining.
• Preferred 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.
• This position requires excellent analytical and business strategy skills.
• Ability to build effective presentations to communicate analytical findings to a wide array of audiences.
• Project and process management skills.
• Effective cross‑functional project, resource, and stakeholder engagement and management, with ability to effectively drive collaboration across teams.
• Ability to make decisions independently…