Job details
The Model/Anlys/Valid Intmd Anlyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information.
Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.
Responsibilities:
Develops, enhances, and validates the methods of measuring and analyzing risk, for all risk types including market, credit and operational. Also, may develop, validate and strategize uses of scoring models and scoring model related policies.
Supports the design, development, delivery and maintenance of best-in-class Risk programs, policies and practices for Risk Management.
Reviews institutional or retail analytics and Models and other documents to ensure compliance with various regulatory and legal requirements.
Identifies potential risks and escalates for further review.
Handles preliminary investigations, assists with reconciliation procedures and prepares routine correspondence.
Creates and maintains reports for control, tracking, and analysis purposes and ensures appropriate and secure retention of documents.
Works with more senior staff in investigating and responding to customer and operational complaints.
Interacts and works with other areas within Risk Management, as necessary.
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.
Qualifications:
4+ years experience
Proficient in Microsoft Office with an emphasis on MS Excel
Consistently demonstrates clear and concise written and verbal communication skills
Self-motivated and detail oriented
Demonstraed project management and organizational skills and capability to handle multiple projects at one time
Education:
Bachelor’s/University degree or equivalent experience
About the Team
Our team is at the forefront of Credit risk management, responsible for meticulously calculating and managing credit losses/reserves and strategic planning and forecasts. We collaborate closely with multiple teams to construct robust forecasts for credit losses and loan loss reserves under diverse macro-economic and business conditions. This role offers the chance to make a tangible impact by ensuring sound financial projections and contributing to key regulatory compliance efforts.
Key Responsibilities
As a Quantitative Analyst, you will play a pivotal role in shaping our financial resilience through rigorous analysis and strategic foresight. Your responsibilities will include:
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. Ensure models produce rational, logical, and accurate outcomes.
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. Leverage this knowledge to generate meaningful and accurate forecasts.
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. Represent the firm during regulatory reviews, fostering transparent and productive discussions.
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.
Qualifications
We are looking for an analytical and proactive professional who is eager to contribute to a high-impact team.
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 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. Experience with Loss Forecasting/CECL/ Stress Testing is highly preferred. Knowledge of the credit card industry and associated regulatory activities is a significant advantage.
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.
Join us and contribute your expertise to a team that values innovation, analytical rigor, and professional growth in the dynamic world of financial risk management.
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Job Family Group:
Risk Management------------------------------------------------------
Job Family:
Model Development and Analytics------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Analytical Thinking, Business Acumen, Constructive Debate, Data Analysis, Escalation Management, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Statistics.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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