Job Category: Model Validation& Governance
Job Type: Full Time
Job Location: Mumbai
Company Name: RBL Bank
Your consultant for this Job: Seema Kakra - Management 2000 CareerZodiac.comInterested IN this Job?
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Client :- RBL Bank
Role :- Model Validation& Governance
Posting :- Mumbai
Grade- Manager/Senior Manager
Job Description-:
| Job Titles | Manager/Senior Manager-Model Validation& Governance |
| Proposed Grade | Manager/Senior Manager |
| Department | Portfolio Risk Review (Retail Risk including Credit Card) |
| Location | Gurgaon/Mumbai |
| Reporting to | Head Model Validation & Governance |
| Eligibility | 3+ Years of data analytics driven Risk Management Experience in either hands-on building of Statistical Models/Scorecards or hands-on validation of the same. Domain expertise should be in Financial Lending. |
| A | Position Purpose |
| The purpose of this role is toindependentlyvalidate/review the suit of Models/Scorecards related to Credit extension/Risk/Collections across all retail products |
| B | Position Responsibilities |
| Key Responsibilities | |
| 1 | Perform independent validation of Model performance at portfolio level (including review of modeling techniques) as well as at relevant segment level and provide recommendations to model builders basis the outcome |
| 2 | Review Models from the perspective of regulatory framework (e.g.Model inputs should not use objectionable attributes) |
| 3 | Remain updated on recent developments in Data Science and evaluate Model Building exercise consideringindustry best practices |
| C | Qualification & Experience Required |
| Qualification | |
| Essential | Masters in quantitative subjects such as Mathematics, Statistics, Economics, Engineering. Must have strong knowledge of Statistics/Data Science/Econometrics including AI/ML algorithms3+ Years of data analytics driven Risk Management Experience in either hands-on building of Statistical Models/Scorecards or hands-on validation of the same. Domain expertise should be in Financial Lending |
| Preferred |
| Experience | |
| Essential | 3+ Years of data analytics driven Risk Management Experience in either hands-on building of Statistical Models/Scorecards or hands-on validation of the same. Domain expertise should be in Financial Lending |
| Preferred | Experience in Chief Risk Officer vertical |
| D | Competency Requirements |
| 1 | In dept knowledge of Data Science including AI/ML algorithms as well as more traditional Statistical methods and Econometrics concepts |
| 2 | Hands-on experience in Model Building or Model Validation |
| 3 | Understanding of Credit Risk in financial sector domain |
| 4 | Attention to detail and quality standards |
| 5 | Interpersonal skills |
| 6 | Excellent communication skills (both written and verbal) |
| E | Behavioural Skills |
| Competencies | Attribute |
| Influence | Influences stakeholders in a non-abrasive manner. |
| Analytical Thinking | Thinking within clearly defined company policies, principles, and specific objectives. Emphasis lies on the improvement of existing procedures and the development of new procedures; also, the translation of policy |
| Problem Solving | Ability to analyse complex information to identify the key issue/action and drive resolution |
For Management 2000 Placements & Recruitments Pvt., Ltd.,
Seema Kakra
Business Consulting Partner
Contact:+91 7878551502
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