Client Transition Manager (Corporate Cards & Payments) [211359]

As part of the Fraud Analytics, Modeling & Intelligence organization, this role manages and executes the fraud analytics and strategies supporting Citi’s North American and global credit card and retail bank businesses. This includes leveraging data to identify fraud trends then designing and implementing strategies to prevent and mitigate fraud attacks across the full fraud lifecycle including application and synthetic ID fraud, account takeover, and sophisticated new attack schemes. This role partners closely with Fraud Policy, Operations and various partners to keep apprised of business and technology direction to determine potential and existing fraud impacts. Responsibilities Support implementation of fraud risk strategies for consumer, small businesses, and commercial bank credit cards 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. Generate and manage regular and ad‑hoc reporting to enable effective monitoring, identification of emerging trends. Recommend actions for future development & strategic business opportunities, as well as enhancements to operational policies. 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. Familiarity with model development, monitoring, and versioning in production environments. Key partner managing Fraud Model Risk including managing stakeholder interaction with model developers, Vendors, and Model Risk Management Validators across the model lifecycle including validation, ongoing performance evaluation, and annual reviews. Conducts analysis and packages it into detailed technical documentation report for validation purposes sufficient to meet regulatory guidelines and exceed industry standards. Presents model validation findings to senior management, supervisory authorities, and regulatory agencies as required. 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. 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. Qualifications 5+ years of experience in payments, fraud, and/or analytics role. 2+ years of experience in payment industry preferred. 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.). 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 Bachelor’s Degree required in statistics, mathematics, physics, economics, or other analytical or quantitative discipline. Master’s Degree preferred. The target hiring compensation range for this role is $50–$53 hr. Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location. Aquent is an equal‑opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We’re about creating an inclusive environment—one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive. #J-18808-Ljbffr