CCAR Unsecured Model Development Analyst II at Citi
Gurugram, haryana, India -
Full Time


Start Date

Immediate

Expiry Date

05 Mar, 26

Salary

0.0

Posted On

05 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Model Development, Risk Analysis, Statistical Modeling, Data Analysis, Programming, SAS, SQL, R, Econometrics, Credit Risk, Reporting, Validation, Communication, Analytical Skills, Quality Assurance, Documentation

Industry

Financial Services

Description
Develops working knowledge of industry practices and standards. 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. Leads project in terms of development, programming, integration, testing, and validation of models. Provides analytical support on analysis and benchmarking. Prepares business as usual and ad-hoc reports in accordance with the Risk Management Teams priorities and requirements, running integrity checks on the reports and checking key numbers from other independently created reports. Participates in a project of constant improvement of risk analytics, modeling and validation systems and optimization of reports. Works on constant improvement of reporting system and optimization of Credit MIS Reports. Obtain and conduct QA/QC on all data required for CCAR/CECL model development Develop segment and/or account level CCAR/CECL stress loss models Perform all required tests (e.g. sensitivity and back-testing) Validate/recalibrate all models annually to incorporate latest data. Redevelop as needed Deliver comprehensive model documentation Work closely with cross functional teams, including country/region's business stakeholders, model validation and governance teams, and model implementation team Prepare responses/presentations to regulatory agencies on all CCAR/CECL models built Advanced Degree (Bachelors required, Masters / PhD preferred) in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or other highly quantitative discipline Demonstrated programming (SAS, SQL, R, etc.). Knowledge of tools like VBA preferable. Basic knowledge of secured/unsecured banking products and US banking. Good communication skill to communicate technical information verbally and in writing to both technical and non-technical audiences. Proven analytical skills, with the ability to identify root causes and trends and anticipate horizon issues. Proficient in Microsoft Office (Word, Excel, and PowerPoint 2+ years experience in model implementation/validation/development preferable. Bachelor's/University degree or equivalent experience 2+ years' experience in performing quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, and particularly econometric modeling of consumer credit risk stress losses Experience with dynamics of unsecured or secured 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) 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 Proficiency in SAS/SQL/Oracle/Unix/Microsoft Word, Excel and PowerPoint Work as an individual contributor 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. ------------------------------------------------------ For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------
Responsibilities
The analyst will develop, enhance, and validate methods for measuring and analyzing various risk types, including market, credit, and operational risks. They will also lead projects related to model development, testing, and validation while providing analytical support and preparing reports.
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