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महाराष्ट्र
Mumbai
तमिलनाडु
Gurugram District
Bengaluru
कर्नाटक
Hosur
पंजाब
Panaji
Remote
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आवेदन करें

Senior- M&V - UK

KPMG India
Gurugram District, हरियाणा
पूर्णकालिक
1 सप्ताह पहले

 

 

#KGS

 

 

 

Roles & Responsibilities

•Model validation/audit/review primarily for one or more credit loss forecasting models in either retail or wholesale domain primarily for IFRS9/IRB models including PD/EAD/LGD component models. •Validation process involves understanding of the relevant regulatory requirements, development document, testing and benchmarking as well as development of challenger models using SAS, R or Python and report writing. •Assist with other model validation/audit/review activities in Underwriting scorecard, Credit Scoring, behavioral models, economic scenario models or automation activities related to validation when required •Model validation including assessing conceptual soundness, critical assessment of the testing performed by the model developers to support the integrity and accuracy of the model implementation and its fit-for-purpose, designing to evaluate the model’s predictive power and its robustness uncertainty through the development and use of alternative benchmark models and compliance assessment against the relevant regulatory standards •Proactively work with seniors, AM and Managers for key deliverables in line with Project requirement •Responsible for key deliverables and engage with Partners/Directors to understand the project scope, business requirements and work with onshore and offshore teams to do successful delivery •Advising non audit clients on the impact of changing requirements in provision accounting standards (IFRS9) and helping clients validate or build credit risk measurement models.

 

 

#LI-DT2

 

                         

Job Description

#KGS

Roles & responsibilities


 

#LI-DT2

 

 

 

 

                         

#KGS

 

Required Skills:

Educational Qualifications

• An advanced degree in Mathematics, Statistics, Economics, or other analytical disciplines.

• A graduate degree plus an MBA in Finance, coupled with relevant experience or exposure.

• Additional certifications such as FRM or CFA are preferred.

 

Work Qualifications

• Proficient in programming languages: Python, SAS, and R. • Advanced skills in statistical and quantitative modeling, including linear regression, logistic regression, ARIMA, Markov Chain, Merton Model, CHAID, and other predictive modeling techniques. • In-depth knowledge of regulatory requirements pertaining to model risk management, such as SR11-7, SR15-18, PRA, and EBA guidelines.  

 

#LI-DT2

 

 

 

 

                         

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