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Job Overview

Category

MBA, OTHERS

Job Role

Data Analyst

Gender preferred

No Preferences

Functional Area

Data

Work preferred

Work from Office

Qualification

Graduation

Any Graduation

Post Graduation

Any Post Graduation

Description





Department


ICR-SPARC




Job posted on


Jul 8, 2022




Employee Type


Permanent




Experience range


7 years - 12 years








Job Description Sheet







Job title






Lead Analyst – Credit Risk Rating Model







Location






Pune









Experience






7+ years of experience in development and validation of risk measurement models for credit risk management with functional knowledge of credit risk assessment









Job Duties






Responsibilities include


n Model development, validation, and implementation across credit risk quantification purposes (Credit rating / scoring methodologies, PD/LGD/EAD/CECL, etc.)


n Identify relevant credit parameters for credit rating/scoring model development leveraging their understanding of credit risk assessment (for Corporate and/or FI and/or Muni and/or CRE sectors)


n Understanding of banking regulations, calculation of key credit metrics and capital ratios. Continuously building knowledge of industry best practices in credit risk management


n Development of benchmark credit risk models using statistical/ML techniques


n Conduct necessary assessments to challenge the model effectively. Assess adequacy of model documentation.


n Carry out monitoring, back testing and permanent supervision checks to ensure the sustainability of the internal model and monitoring of proxies.


n Working closely with clients and other resources to understand and enhance the modelling process behind existing models







Academic Qualification






Master’s degree or higher in Finance, Mathematics, Economics, Statistics, Data Science, Econometrics, Risk Management, or equivalent experience.


Profession certifications like CFA or FRM will be an advantage









Skills and Traits Required







The following traits are mandatory:


n Strong skills in programming (C++ / Java), quantitative analysis packages (Python / R / SAS / SPSS / MATLAB), and data management (e.g. SQL)


n Prior experience in credit risk, quantitative modelling techniques and analytics


n Experience in quantitative and qualitative review and analysis across the credit lifecycle and credit processes/procedures will be an advantage; Good understanding of US CRE industry and market trends


n Strong analytical, problem solving, critical thinking and communication skills


n Strong process orientation and time management skills; fast thinker and quick actioner to handle ad-hoc tasks


n Ability to design and develop a solid statistical model and to explain the strength/weakness and find a solution to overcome model bias if exist


n Willingness to learn and continuously expand technical and business skills


n Experience in the design and implementation of credit risk model related frameworks (model lifecycle management, development, validation, implementation)


n Knowledge of risk management and regulatory areas would be preferred eg. Basel, Stress Testing, Capital Management, ICAAP, Risk Based Supervision










Skills

CFASAS

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