Loss Forecasting and Stress Testing Analytics Intermediate Analyst Job at Citi (Mumbai)

Job Description

This is an exceptional opportunity for a developing professional to independently tackle complex challenges, integrate deep specialized knowledge, and drive critical financial forecasting initiatives for a significant credit card portfolio. Join our cutting-edge Loss / Reserve Forecasting and Stress Testing team and contribute to the financial stability and strategic direction of a global leader in financial services.

Job Responsibility

Lead Forecasting & Stress Testing: Drive the execution of quarterly loss/loan loss reserve forecasting and stress testing processes (e.g., CCAR, QMMF, Recovery Plan) for North American cards portfolios
Enhance Model Validation & Integrity: Actively participate in the review and challenge of existing models and their outputs, identifying opportunities for continuous improvement in alignment with portfolio performance and evolving macro-economic trends
Strategic Policy Analytics: Conduct sophisticated risk policy analytics to quantify the impact of credit, business, and regulatory policies on loss performance, seamlessly integrating these insights into the stress testing framework
Advanced Econometric Analysis: Perform in-depth econometric analysis to estimate and articulate the influence of changing macro-economic trends on key performance indicators such as portfolio losses and delinquency rates
Data-Driven Insights & Automation: Understand and analyze the key drivers of losses and loan loss reserves, their relative importance, and current trends
Cross-Functional Collaboration: Partner with Risk and Finance organizations to optimize data sourcing, definition, extraction, and utilization processes, continuously improving our analytical capabilities
Process Optimization & Innovation: Identify and champion opportunities for process efficiencies through automation (using Python, VBA, SAS, Tableau), simplification of underlying data, forecasting, and reporting processes, including the innovative application of Citi AI solutions
Governance & Compliance Excellence: Oversee associated governance activities (Manager Control Assessment, End User Computing, Activity Risk Control Monitoring), ensuring best-in-class practices for documentation, version control, and central results summaries
Stakeholder Engagement & Communication: Present complex analytical findings and strategic recommendations to managers, key stakeholders, senior management, and various review, challenge, and audit teams
Ethical Risk Management: Consistently assess and mitigate risk in all business decisions, safeguarding the firm's reputation and assets by adhering to regulatory compliance, internal policies, and sound ethical judgment

Requirements

Minimum of 4 years of progressive experience in financial services, business analytics, or management consulting, with a strong emphasis on quantitative analysis
A post-graduate degree in a quantitative discipline such as Statistics, Mathematics, Economics, Econometrics, Management, Operations Research, or Engineering
Demonstrated proficiency in analytical and automation tools (e.g., Python, SAS, VBA, Tableau) and a keen interest in leveraging AI for enhanced efficiency
Strong understanding of risk management principles
Exceptional quantitative aptitude, critical thinking, and problem-solving abilities, with a track record of delivering high-quality results
Excellent written and verbal communication skills, with the ability to articulate complex analytical concepts to diverse audiences
A strong work ethic, a collaborative spirit, and the ability to thrive in both independent and team-oriented environments

Nice to have

Experience with Loss Forecasting/CECL/ Stress Testing is highly preferred
Knowledge of the credit card industry and associated regulatory activities is a significant advantage

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Loss Forecasting and Stress Testing Analytics Intermediate Analyst

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