Enterprise Risk Analytics Manager - BFSI

People Konnect; Gurugram District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

People Konnect is seeking a skilled Enterprise Risk Management professional to support ERM data management, reporting, and analytics in a BFSI setting. The role involves risk data validation, loss modelling support, and dashboard automation across data warehouses, IT, Finance and business teams.

The ideal candidate will have 5+ years in ERM/Risk Analytics, strong SQL/SAS/Python/Excel skills, and working knowledge of Power BI, with ability to drive data quality and reporting efficiencies.

Qualifications

• 5+ years in Enterprise Risk Management / Risk Analytics / Risk Reporting / Risk Data within BFSI/NBFC.
• Strong understanding of risk data, portfolio reporting, data quality and reconciliation.
• Experience with Data Warehousing, ETL and reporting automation.
• Strong hands-on skills in SQL, SAS, Python and Excel.
• Working knowledge of Power BI.
• Strong analytical, stakeholder management and communication skills.

Responsibilities

• Support monthly, quarterly and ad-hoc ERM reporting covering portfolio performance, risk metrics, risk indicators and stress outcomes.
• Process and analyse risk data from LMS, Finance, Collections, Bureau and External Data sources.
• Perform data validation, reconciliation and quality checks across multiple systems.
• Monitor data quality metrics and identify gaps, inconsistencies and anomalies in risk data.
• Support loss modelling exercises through accurate and validated risk data outputs.
• Ensure seamless risk data flow into centralised data marts/data warehouses supporting Risk Analytics.
• Support preparation and monitoring of portfolio and risk indicators for ERM.
• Assist in developing and enhancing risk data models, reporting templates and analytical approaches.
• Automate recurring risk reporting and ERM dashboards to improve accuracy, efficiency and TAT.
• Work closely with ERM, Risk Analytics, IT, Data Engineering, Finance and Business teams.
• Identify opportunities to improve risk reporting processes, data integrity and system efficiency.

Skills

ERM reporting

Risk analytics

Data quality

Data warehousing

ETL

SQL

SAS

Python

Excel

Power BI

Stakeholder mgmt

Education

B Tech

BCA

Analytics

Tools

SQL

SAS

Python

Excel

Power BI

Job description

We're hiring for one of our BFSI clients for:

Experience: 5-10 Years

Education: B Tech / BCA – Technology, Data Science or Analytics

Role Overview:

The role will support Enterprise Risk Management (ERM) through risk data management, risk reporting, data quality, portfolio monitoring, loss modelling support and reporting automation within a BFSI environment.

Key Responsibilities:

• Support monthly, quarterly and ad-hoc ERM reporting covering portfolio performance, risk metrics, risk indicators and stress outcomes.
• Process and analyse risk data from LMS, Finance, Collections, Bureau and External Data sources.
• Perform data validation, reconciliation and quality checks across multiple systems.
• Monitor data quality metrics and identify gaps, inconsistencies and anomalies in risk data.
• Support loss modelling exercises through accurate and validated risk data outputs.
• Ensure seamless risk data flow into centralised data marts/data warehouses supporting Risk Analytics.
• Support preparation and monitoring of portfolio and risk indicators for ERM.
• Assist in developing and enhancing risk data models, reporting templates and analytical approaches.
• Automate recurring risk reporting and ERM dashboards to improve accuracy, efficiency and TAT.
• Work closely with ERM, Risk Analytics, IT, Data Engineering, Finance and Business teams.
• Identify opportunities to improve risk reporting processes, data integrity and system efficiency.

Required Skills:

• 5+ years of experience in Enterprise Risk Management / Risk Analytics / Risk Reporting / Risk Data within BFSI/NBFC.
• Strong understanding of risk data, portfolio reporting, data quality and reconciliation.
• Experience with Data Warehousing, ETL and reporting automation.
• Strong hands-on skills in SQL, SAS, Python and Excel.
• Working knowledge of Power BI.
• Strong analytical, stakeholder management and communication skills.