Wealth Stress Loss Quantification Analytics - Vice President

Wealth Stress Loss Quantification Analytics - Vice President Location(s): Mumbai, Maharashtra, India Job Type: Hybrid Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview The Model/Anlys/Valid Sr Mgr accomplishes results through the management of professional team(s) and department(s). Integrates subject matter and industry expertise within a defined area. Contributes to standards around which others will operate. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function. Requires basic commercial awareness. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Has responsibility for volume, quality, timeliness and delivery of end results of an area. May have responsibility for planning, budgeting and policy formulation within area of expertise. Involved in short-term planning resource planning.Full management responsibility of a team, which may include management of people, budget and planning, to include duties such as performance evaluation, compensation, hiring, disciplinary and terminations and may include budget approval. Responsibilities: Responsible for Wealth and Consumer Retail Credit Loss Forecasting and Decision Models Oversight and Governance in Asia and European countries. With in-depth understanding of the model life cycle and model risk management, ensure compliance of applicable policies and regulatory requirements pertaining to model development, validation, usage and on-going performance assessment; Participate in model development calls between sponsor and modeler, exercise effective challenge for assumptions, risk drivers, methodologies and results to ensure models satisfy the functional requirements; Provide guidance and technical advice to countries on model related methodological issues and strategic use to achieve the business control and profitability goals. Functionally manage/mentor a team of 3-5 junior analysts. Capable of presenting complex modeling concepts to non-technical audiences. Ensure respective countries have appropriate Champion/Challenger/Benchmark loss forecasting models / methodologies in place. Work with multiple stakeholders (e.g. countries, modelers, credit risk oversight seniors) to ensure annual model development / enhancement plan to address model issues identified. Coordinating, and reviewing before submission to Model Risk Management (MRM), all model documentations including Validation, Re-validation, Annual Model Review, Ongoing Performance Assessment, overlay documentation, closure of model limitations. Tracking all work and approval status with MRM and countries. Ensure all models inputs (e.g. macroeconomic forecasts) are provided in a timely manner to facilitate periodic model run as per regulatory timeline. Coordinating with Global Model Production Team to schedule periodic model run and obtain model results to support countries CCAR/CECL/ICAAP Credit Loss Forecasting submission. Participate in logistics and model usage support to Global on CCAR/CECL/ Annual Loss Forecasting submission. Achieve effective challenge to model run results to fulfill the regulatory stress testing and business credit planning objectives. Effectively support setting up of standards, designing workflows, ensuring control and compliance of regulatory submission, such as CCAR, ICAAP, CECL, IFRS9, etc. Perform model governance self-assessment, identify exceptions / findings to communicate to Senior Manager, and set up corrective action plan (CAP) as appropriate. Coordinate with multiple stakeholders to ensure timely CAP resolution. Review recommendations on possible revisions and proposed changes in Model Risk Management and CCAR/CECL policies and procedures, conduct gap analysis, implement the changes and ensure compliance at all levels. Preparing/reviewing meeting minutes of model development discussions, model results review, policy-related calls, for audit trail purposes. Qualifications: At least 10+ years’ experience in scoring / risk segmentation / loss forecasting model management, model oversight role with solid consumer risk management experience for all consumer loan products Strong common sense and judgment in applying the policies and procedures to specific situations Ability to work effectively under pressure Solid work experience in handling analysis and presentation of complex financing portfolios Strong in process management and control concepts Proactive in problem solving Disciplined, self-motivated, independent, mature and willing to work overtime as occasional evening conference calls with Global Office and other Asia and European countries are expected. Good verbal, written and interpersonal communication skills in liaising with global model development team and country risk teams at all levels. Strong computer skills particularly in Excel/PowerPoint/SAS/Answer Tree, etc. and ability to prepare presentation decks for senior executives Occasional travel across the region may be required Education: University degree in Economics or Statistics This is a Individual contributor role. ------------------------------------------------------ Job Family Group: Risk Management ------------------------------------------------------ Job Family: Model Development and Analytics ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Analytical Thinking, Credible Challenge, Data Analysis, Governance, Policy, Procedure, and Regulation, Risk Management Lifecycle. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. 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