Solytics Partners - Senior Quantitative Analyst (2-6 yrs)

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