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Job Details
The Model/Anlys/Valid Sr Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits
Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.
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.
Conducts statistical analysis for risk related projects and data modeling/validation.
Applies quantitative and qualitative data analysis methods including SAS programming, Structured Query Language (SQL) to extract, transform and analyze data and Visual Basic programming language.
Prepares statistical and non-statistical data exploration, validate data, identify data quality issues.
Conducts data analysis, data mining, read and create formal statistical documentation, reports and work with Technology to address issues.
Analyzes and interprets data reports, make recommendations addressing business needs.
Uses Predictive modeling methods, Optimizing monitoring systems, document optimization solutions, and present results to non-technical audiences; create formal documentation using statistical vocabulary.
Generates statistical models to improve methods of obtaining and evaluating quantitative and qualitative data and identify relationships and trends in data and factors affecting research results.
Validates assumptions; escalate identified risks and sensitive areas in methodology and process.
Automates data extraction and data preprocessing tasks, perform ad hoc data analyses, design and maintain complex data manipulation processes, and provide documentation and presentations.
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:
7+ 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
Demonstrated project management and organizational skills and capability to handle multiple projects at one time
Education:
Bachelor’s/University degree or equivalent experience
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.
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.
7+ 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.
This is an Individual contributor role.
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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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