Solytics Partners - Senior Quantitative Analyst

About Us : - Solytics Partners provides Consulting and Solutions to Banking, Capital Markets, Asset Management, and Insurance firms. - We leverage combination of deep domain knowledge, advanced analytics and technology to provide accelerated and efficient services and next generation solutions. - Our team of senior consultants comes with 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 : Credit Risk Modelling Analyst will be responsible to manage the model implementation cycle (from design, implementation, monitoring to demise) of Credit risk and IFRS9 models covering the Large corporates, Mid-market and SME portfolios along with Banks / FIs and Sovereign portfolio. This role is a part of wholesale credit risk modelling team which is a [part of risk management function. Role and Responsibilities : - Involve in model development, model validation, model recalibration and monitoring model documentation and maintain the risk model inventory. - Performing 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. - Working closely with BA's and system owners for model development. - Strong understanding of data analytics and enterprise level data architecture which is 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. Key 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 (ref:hirist.tech)

Location: pune, IN

Posted Date: 10/26/2024