Risk Modeling Manager

SRS Infoway; Hyderabad, Chennai District, Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

SRS Infoway is seeking an AI governance professional to oversee risk management across the model lifecycle. You will evaluate use cases by impact, review data and methodology, and ensure controls and documentation are robust.

The role involves governance reporting, validation coordination, and ongoing monitoring to sustain responsible AI practices. You will collaborate with stakeholders, maintain inventories and logs, and drive remediation efforts while ensuring regulatory alignment and ethical

Qualifications

• Experience in AI governance or model risk management.
• Knowledge of model validation, monitoring and documentation.
• Skills in risk assessment, control design and audit evidence.
• Familiarity with ML, GenAI, agentic AI and data governance.

Responsibilities

• Perform AI risk assessments and classify use cases by impact and materiality.
• Review model purpose, data, methodology, performance, limitations and controls.
• Assess fairness, explainability, privacy, security, robustness and human oversight.
• Maintain AI inventories, risk records, control evidence and decision logs.
• Coordinate validation, red-teaming, governance reporting, issue remediation and ongoing monitoring.

Skills

AI governance

Model lifecycle

Risk assessment

GenAI familiarity

Job description

Key Responsibilities

• Perform AI risk assessments and classify use cases by impact and materiality.


• Review model purpose, data, methodology, performance, limitations and controls.


• Assess fairness, explainability, privacy, security, robustness and human oversight.


• Maintain AI inventories, risk records, control evidence and decision logs.


• Coordinate validation, red-teaming, governance reporting, issue remediation and ongoing monitoring.

Required Skills

• AI governance or model risk management


• Model lifecycle, validation, monitoring and documentation


• Risk assessment, control design and audit evidence


• ML, GenAI, agentic AI and data-governance familiarity

Executive reporting and stakeholder facilitation