The Credit Portfolio Senior Analyst is an intermediate-level position with the
US Consumer Cards Existing Customer Management Risk and Data Analytics Team
Responsibilities:
Develop Risk Segmentation, Line management, Account management strategies and models across customer life cycle.
Develop recommendations to adjust credit policies by analyzing credit and financial performance and utilizing statistical scoring, segmentation, and regression and simulation techniques
Manage risk levels for the entire credit spectrum
Create story boards, presentations and project plans for discussions with senior management – drive insights
Participate in audit related reviews , regulatory reporting and should have sound communication skill to present in such forums
Work closely with cross functional teams, including business stakeholders, MRM and governance teams, and model implementation teams
Lead projects for junior team members and helps them in their professional development
Participate in developing, testing, and optimizing credit policies, ensuring consistency and regulatory compliance, and assist in the implementation of those policies, processes and other related initiatives
Utilize Statistical Analysis System (SAS) in a UNIX environment to perform risk, financial and data analyses including profiling, sampling, reconciliation, and quality testing
Research customer and/or management queries using risk systems and data and support ad-hoc risk policy analyses and projects as required
Appropriately assess risk when business decisions are made, demonstrating particular 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.
Recommended Qualifications:
7+ years of relevant experience
Ability to apply credit and risk principles toward business goals
Gen AI/ AI ML proficiency is a plus
- Data visualization, Tableau, Python skill are a plus
Demonstrated ability to synthesize, prioritize and drive results with a sense of urgency
Proven ability to remain organized in a fast-paced environment, managing multiple projects
Proven interpersonal, organizational and analytic skills
Education:
Advanced Degree (Masters required) in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or other highly quantitative discipline
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Job Family Group:
Risk Management
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Job Family:
Portfolio Credit Risk Management
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Time Type:
Full time
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Most Relevant Skills
Analytical Thinking, Constructive Debate, Escalation Management, Industry Knowledge, Policy and Procedure, Policy and Regulation, Process Execution, Product Knowledge, Risk Controls and Monitors, Risk Identification and Assessment.
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Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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