Risk Analytics-Leading Bank-Mumbai-Goregaon

Acura Solutions; Mumbai; On-site; INR 1,000,000 - 2,000,000; Full time

Job summary

Acura Solutions is seeking a Risk Analytics professional to support banking risk management through data-driven analysis and statistical methods. You will build and monitor risk analytics, MIS dashboards, and predictive models, while validating PD/LGD/EAD/ECL analyses.

Collaborate with Business, Credit, Data Science and Risk teams to deliver actionable insights and ensure RBI regulatory adherence. The role emphasizes automating risk reporting with SQL, Python, SAS, R and Power BI, driving risk

Qualifications

• Develop and validate risk models, scorecards and predictive analytics.
• Perform PD, LGD, EAD and ECL analyses for portfolios.
• Automate risk reports and analytics using SQL, Python, SAS, R and Power BI.
• Ensure compliance with RBI regulatory requirements and internal policies.

Responsibilities

• Develop and monitor risk analytics, MIS and dashboards for business and risk teams.
• Analyze credit, portfolio and customer data to identify risk trends and indicators.
• Support credit risk assessment, portfolio monitoring and risk segmentation.
• Develop and validate risk models, scorecards and predictive analytics.
• Perform PD, LGD, EAD, ECL and portfolio risk analyses where applicable.
• Conduct stress testing, scenario analysis and sensitivity analysis.
• Identify risk trends, anomalies and potential credit deterioration.
• Work with Business, Credit, Data Science and Risk teams to provide actionable insights.
• Automate recurring risk reports using SQL / Python / SAS / R / Power BI.
• Ensure adherence to RBI regulatory requirements.

Skills

Risk analytics

MIS dashboards

Credit risk analysis

Stress testing

Data-driven insights

Cross-functional collaboration

Tools

SQL

Python

SAS

R

Power BI

Job description

We are looking for a Risk Analytics professional to support the bank in identifying, measuring and monitoring various financial and credit risks using data-driven analysis and statistical techniques.

Key Responsibilities:

• Develop and monitor risk analytics, MIS and dashboards for business and risk teams.
• Analyze credit, portfolio and customer data to identify risk trends and early warning indicators.
• Support credit risk assessment, portfolio monitoring and risk segmentation.
• Develop and validate risk models, scorecards and predictive analytics.
• Perform PD, LGD, EAD, ECL and portfolio risk analysis, where applicable.
• Conduct stress testing, scenario analysis and sensitivity analysis.
• Identify risk trends, anomalies and potential credit deterioration.
• Work with Business, Credit, Data Science and Risk teams to provide actionable insights.
• Automate recurring risk reports and analytics using SQL / Python / SAS / R / Power BI.
• Ensure adherence to internal risk policies and RBI regulatory requirements.