21 Job openings found

2 Opening(s)
2.0 Year(s) To 12.0 Year(s)
7.00 LPA TO 35.00 LPA
Role Summary:   The Credit Risk Quant Analysts will work on developing, validating, and enhancing models for credit risk assessment in banking and financial services.   Key Responsibilities: Validate credit risk models, including Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD). Develop and implement credit risk scoring models using advanced statistical ...
2 Opening(s)
5.0 Year(s) To 10.0 Year(s)
30.00 LPA TO 45.00 LPA
1. Risk Assessment & Underwriting Develop and implement risk assessment models for home loans. Analyze borrower profiles, financials, credit scores, and collateral to ensure sound underwriting decisions. Review loan proposals and approve/recommend them based on defined credit policies. Identify early warning signals for potential loan defaults. 2. Policy & Framework Development Design and update home loan ...
1 Opening(s)
15.0 Year(s) To 20.0 Year(s)
40.00 LPA TO 80.00 LPA
·         Leading and managing a team of Credit Risk Analysts to develop data driven, automated credit risk portfolio management ·         Develop, monitor and publish Risk Metrics / dashboards to evaluate the quality of loan portfolios and based on analysis, recommend solutions/strategies to minimize credit risk in relevant portfolios of the Bank ·         Strong domain ...
3 Opening(s)
4.0 Year(s) To 6.0 Year(s)
Not Disclosed by Recruiter
  Roles and Responsibilities Preforming Risk Analytics activities to develop models and support the bank on various analytical initiatives Assist in modeling key risk estimates PD, LGD and EAD for AIRB and IFRS9 framework Regularly engage in model development, validation, and re-development activities Other risk analytics activities include assisting in review and re-development of Macro-Economic ...
1 Opening(s)
10.0 Year(s) To 18.0 Year(s)
35.00 LPA TO 55.00 LPA
Role : Leading and managing a team of Credit Risk Analysts to develop data driven, automated credit risk portfolio management Develop, monitor and publish Risk Metrics / dashboards to evaluate the quality of loan portfolios and based on analysis, recommend solutions/strategies to minimize credit risk in relevant portfolios of the Bank Analysis of portfolios (Risk ...
6 Opening(s)
2.0 Year(s) To 12.0 Year(s)
10.00 LPA TO 25.00 LPA
Credit Risk Analytics and Modelling – Analyse, model, validate and document various measures of Credit Risk for use in Expected Credit Loss and Capital computations. Hands-on experience in building, implementing, documenting, monitoring, validating, refining models and scorecards – in particular for PD, LGD, EAD and related Credit Risk metrics - using ...
1 Opening(s)
2.0 Year(s) To 12.0 Year(s)
Not Disclosed by Recruiter
JD 1 : Quant Analyst – Market RiskRole Summary:The Market Risk Quant Analysts will focus on market risk model development, validation, andcompliance, ensuring that banks meet regulatory and risk management standards.Key Responsibilities: Validate market risk models, including Value-at-Risk (VaR), Expected Shortfall, and StressTesting frameworks. Develop and enhance models for FRTB ...
1 Opening(s)
2.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
The ESG Specialists will focus on integrating climate risk assessments and sustainability strategies intobanking risk frameworks, aligning with regulatory standards like TCFD. Key Responsibilities: Assess and quantify climate risk exposures for banking portfolios. Develop ESG scoring models tailored for financial institutions. Integrate ESG metrics into credit risk assessments and risk appetite ...
1 Opening(s)
2.0 Year(s) To 12.0 Year(s)
7.00 LPA TO 34.00 LPA
Data Scientist – Banking and Risk Management Role Summary: The Data Scientists will design AI/ML models for banking and risk management, driving innovation and enhancing operational efficiencies for financial institutions. Key Responsibilities: Develop AI/ML models for credit scoring, fraud detection, and risk assessment in banking. Analyze large datasets from banking systems to identify risk ...
1 Opening(s)
2.0 Year(s) To 12.0 Year(s)
Not Disclosed by Recruiter
Data Scientist – Banking and Risk ManagementRole Summary:The Data Scientists will design AI/ML models for banking and risk management, driving innovation andenhancing operational efficiencies for financial institutions.Key Responsibilities: Develop AI/ML models for credit scoring, fraud detection, and risk assessment in banking. Analyze large datasets from banking systems to identify risk ...

Drop Your CV

We will consider your Profile for future Jobs

Submit Profile