CITI Hiring for Risk Modeling Intmd Analyst at Mumbai, Maharashtra, India Full Time

Job Description

• 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:
  • Obtain and conduct QA/QC on all data required for CCAR/CECL/Decision Scores model development
  • Develop segment and/or account level CCAR/CECL/Decision Scores models. Developing Underwriting, Line management, Account management, Collection and Recovery models.
  • Executing the above models in compliance with GCCFRP and in accordance with the Model Development Procedures within Risk
  • Validate/recalibrate all models annually to incorporate latest data. Redevelop as needed.
  • Perform all required tests (e.g. sensitivity and back-testing). Deliver comprehensive model documentation and perform implementation tests
  • Work closely with cross functional teams, including business stakeholders, model validation and governance teams, and model implementation team
  • Work closely with policy managers in establishing the swap set analysis and PnL optimization using the models.
  • Create story boards, presentations and project plans for discussions with senior management
  • Support the regulatory submissions for Citi on CCAR/CECL and work on adhoc requests from Business and Independent Risk
  • Prepare responses/presentations to regulatory agencies on all CCAR models built
  • Train and mentor junior modeler in developing innovative models in compliance with policies and procedures

  Qualifications:

  • Advanced Degree (Masters required, PhD preferred) in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or other highly quantitative discipline
  • 5+ years’ experience in performing quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, and particularly econometric modeling of consumer credit risk stress losses
  • At least 3 years’ experience in developing credit risk/marketing scorecard with At least 1 year experience leading a risk/marketing model development or a credit policy using segmentation
  • Hands on experience of Risk Model Development procedures and concepts and ability to manage own projects fairly independently
  • Experience with dynamics of unsecured products a strong plus
  • Active role in performing some analytical components of an econometric modeling-driven stress loss process (data collection, data integrity QA/QC/reconcilements, pre-processing, segmentation, variable transformation, variable selection, econometric model estimation, sensitivity testing, back testing, out-of-time testing, model documentation, and model production implementation)
  • Ability to work effectively in cross functional teams, including country/region’s business stakeholders, model validation and governance teams, and model implementation team
  • Good understanding of regulatory requirements
  • Exposure to various stress loss modeling approaches at the segment or account level preferred
  • Able to communicate technical information verbally and in writing to both technical and non-technical audiences
  • Mentor/manage 1 – 2 member team

  Technical Skills:

  • Strong technical skills in modeling procedures is required (regression, time series, decision tree, linear/nonlinear optimization etc.) Proficiency in SAS/SQL/Oracle/Unix/Microsoft Word, Excel and PowerPoint
  • Basic programming skills in Python or R is required
  • Strong communication skills to present technical information verbally and in writing to both technical and non-technical audiences is required.
  • Ability to influence others in technical matters is required.
  • On-the-job Python coding experience is preferred.
  • Machine Learning knowledge is preferred
  • Big Data concepts understanding is preferred

  Education:

  • Bachelor’s/University degree or equivalent experience

– Job Family Group: Risk Management – Job Family: Risk Analytics, Modeling, and Validation – Time Type: Full time – Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries (“Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View the “EEO is the Law” poster. View the EEO is the Law Supplement. View the EEO Policy Statement. View the Pay Transparency Posting