Assistant Manager GMO C10 Citibank India

Citi, the leading global financial services company, has some 200 million customer accounts and does business in more than 100 countries, providing consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, and wealth management. Additional information may be found at www.citigroup.com or www.citi.com

Within Citi, Global Modeling Oversight (GMO) is an independent oversight function and is part of the Global Consumer organization. The Mumbai center is one of the three GMO locations across the globe and is responsible for development and maintenance of Model Risk Management Policy and procedures, for evaluation and approval of very high, high and medium high risk models used in global consumer risk management.



Role Outline/Job Summary


The position will be part of the Global Model Oversight, India (Mumbai) team. His/her primary role is to evaluate conceptual soundness and model performance of loss forecasting, balance forecasting, stress testing, PPNR, Loan Loss Reserves (LLR), and macro-economic forecasting models that are developed by other Global Consumer Teams as part of Citi’s Comprehensive Capital Analysis and Review (CCAR) submissions. The roles are very critical to the organization, as GMO’s authorization on the use of the CCAR models are based on the reviewer’s evaluation results. The reviewer will adhere to the Model Risk Management Policy when evaluating models and ensure models, documentation, and monitoring MIS are compliant with applicable policies.


Job Description

Position Title: Assistant Manager
Business Group: CSIL
Department: Model Validation Group – Consumer
Grade/Level: C10
Function/Group: Global Modeling Oversight – India CoE
Location: Mumbai


Role and Responsibilities:

Business/Department Objectives:

GMO’s primary responsibilities, among others, include:
  • Evaluation and approval of Very High/High/Medium High risk models used in global consumer risk management
  • Development and maintenance of Model Risk Management Policy
  • Maintenance of the Centralized Global Model Inventory
  • Reviewing decisions made on CCAR models during the decision process

Core Responsibilities:
  • Carry out Model evaluations as per the requirements outlined in the Citi Consumer Model Risk Management Policy for CCAR
  • Support GMO team leads in model evaluation of Very High/High/Medium High Risk Level models and related transactions
Utilizing SAS, Interthinx (ITX) and other Microsoft Office products, identify key model soundness, development, and implementation issues, and recommend solutions to mitigate them

Day-to-Day Responsibilities:
  • Must have hands on expertise in developing/monitoring/reviewing loss forecasting, stress testing and macro-economic forecasting models and therefore can evaluate the models developed by regional consumer teams

Financial/Budgetary: N/A


Individual Contributor (IC)/Managerial: IC


Key Deliverables:
  • Carry out CCAR Model evaluations as per the requirements outlined in the Citi Consumer Model Risk Management Policy
  • Support GMO Team Leads in CCAR Model evaluation

Relocation: Yes

Qualifications

Education:
  • Masters or Doctoral degree with a specialization in Statistics, Mathematics, Finance or other quantitative discipline
Experience:
  • 3+ years in relevant consumer finance or credit card industry experience to include loss forecasting/stress testing model development, maintenance, tracking and management (Required)
  • Exposure to development/validation of loss forecasting/stress testing models especially for CCAR submission (preferred)
Required Skills:
  • Strong analytical skills in conducting sophisticate statistical analysis using bureau/vendor data, customer performance data and marketing data to solve business problems
  • Excellent written and oral communication skills are required, ability to present work in a formal and understandable format, bringing groups of people to consensus
  • Ability to recognizing information and patterns in data that are not obvious, and focusing analytical efforts in pursuit of explanations, isolations of cause and effect
  • Good programming skills in advanced SAS and SQL in mainframe, UNIX and PC environments
Preferred Skills:

  • Strong Modeling Experience specifically in Loss forecasting and CCAR
  • Having exposures to regulatory guidance around model validation
  • Understanding of Fed CCAR Guidelines
  • Exposure to Look ahead Model Software (ITX)



Others:
  • Strong communication and presentation skills targeting a variety of audiences
  • Flexibility in approach and thought process
  • Attitude to learn and comprehend the periodical changes in the regulatory requirement as per FED

  • Primary Location: India,Maharashtra,Mumbai
  • Education: Master's Degree
  • Job Function: Risk Management
  • Travel Time: Yes, 10 % of the Time
  • Job ID: 15056856



May 22, 2016

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