Senior Credit Risk Analyst

1 month ago

Pune, Maharashtra, India Solytics Partners Full time
About Solytics Partners

We are a leading consulting and solutions provider to the financial industry, leveraging advanced analytics and technology to deliver accelerated and efficient services. Our team of senior consultants has significant global experience in key markets and advanced degrees in STEM.

Our regulatory compliant solutions and services enable leading financial institutions and corporations to create and sustain competitive advantage.

Job Summary

The Credit Risk Modelling Analyst will be responsible for managing the model implementation cycle, including design, implementation, monitoring, and demise, of Credit risk and IFRS9 models covering Large corporates, Mid-market, and SME portfolios, as well as Banks/FIs and Sovereign portfolio.

Key Responsibilities
  • Involve in model development, validation, recalibration, and monitoring of model documentation and maintain the risk model inventory.
  • Perform these activities on the MRM framework for corporate BASEL and IFRS9 models.
  • Lead credit scoring modelling exercise with applicable compliance to regulations.
  • Implementation and enhancement of ECL models based on internal enhancements, BASEL, or Saudi Central Bank regulatory stipulation.
  • Work closely with BA's and system owners for model development.
  • Strong understanding of data analytics and enterprise level data architecture used to consolidate model development and model monitoring information.
  • Support business reporting and analytics function in generating bespoke reports from credit approver and rating system.
Requirements
  • 2 to 6 years of experience in model development/model validation and model management.
  • Understanding of Stress testing/Sensitivity testing.
  • Experience in risk requirements as related to scorecards and IFRS9/CECL/AIRB.
  • Strong understanding of credit risk and model development.
  • Indepth knowledge of model development and validation including data extraction and pre-processing, modular model development, user acceptance testing, and model performance assessments of:
  • IFRS9 models: staging, PD, EAD, LGD.
  • Risk scorecards and frameworks – Large corporates, Mid-market, and SME portfolios.
  • Credit decisioning and Early Warning Risk Models.
  • Good programming skills in SAS. Transferrable knowledge from R or Python.
  • Knowledge of SAS EG and ECL will be an added advantage.

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