Senior analyst - Model Validation (Risk)

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Details below :

Desired candidate :

Experience into Credit Risk Model Validation in MNC Banks / Private Sector Banks/ Other Foreign banks/ Public Sector banks / Consulting firms.

1. Strong experience and practical in-depth understanding of Credit risk model development/validation methodologies and procedures.

2. Strong quantitative background in Applied Statistics/Mathematics/Operations Research/ Economics /Engineering / or related quantitative field.

3. Strong work experience and practical understanding of at least one or more of the following regulatory regimes: US (FRB/OCC), UK (PRA/ECB), CBUAE (MENA), RBI (India), MAS (Singapore), HKMA (Hong Kong).

4. Strong work experience and/or in-depth practical understanding of Credit Risk models PD (Probability of Default), EAD (Exposure in Default), LGD (Loss Given Default) models from either model development or model validation standpoint.

5. Sound work experience and good practical understanding of Statistical modeling techniques of Linear Regression, Logistic Regression; Machine learning approaches of Gradient Boosting (GBM), XGboost (Extreme Gradient Boosting), Cat-Boosting, and Random Forest. Time Series modeling knowledge approaches ARIMA, ARIMAX would be added plus.

6. Highly proficient in statistical tools/ programming languages (viz. Python, SAS, SQL, R).

7. Strong Experience with data analysis, data visualization, and data mining techniques.

8. High quality Report writing skills from either Model Development or Model Validation perspective factoring the regional regulatory guidelines/framework and Standard Operating Procedures.

9. Strong Critical reasoning skills and analytical capabilities for analyzing models and related modeling/Financial products analysis & exercises.

10. Adept in Stakeholder Management and excellent in Oral and written communication skills as well as interpersonal skills.

Qualification :

• Bachelors and/or Masters degree in Quantitative Finance/ Statistics/Operations-Research/Economics/Mathematics/Engineering or related quantitative fields.
• Risk Management qualifications such as FRM/PRM/CFA desirable though not mandatory.