Job Description
The role involves leveraging data analytics and AI tools to support risk management, internal audit, and compliance processes within a technology-driven company, with a focus on enhancing risk insights, reporting, and governance across global operations.
Key Responsibilities
- Build relationships across risk, compliance, and IT security teams to understand key risks and control gaps for audit planning.
- Design and deliver risk dashboards, heatmaps, and forward-looking analytics to support enterprise risk management.
- Contribute to continuous risk monitoring and early-warning indicators across various risk domains.
- Define and execute data analytics strategies to enhance internal audit, risk assessments, and board reporting.
- Lead data-driven internal audit projects from scope to reporting, including data analysis and stakeholder communication.
- Support the development of enterprise risk management processes using data-enabled methods for risk identification and monitoring.
- Integrate analytics into SOX and operational audits to improve control testing and issue analysis.
- Apply advanced analytics and AI tools to detect anomalies, generate predictive risk insights, and improve monitoring efficiency.
- Maintain and enhance internal data models, risk scoring frameworks, and dashboards using visualization tools.
Requirements
- 5 to 6 years of experience in risk advisory, internal audit, or governance functions with demonstrated ability to apply data and analytics in these contexts.
- Practical experience with risk assessment, prioritization, and mitigation processes.
- Ability to update, and maintain enterprise risk registers, heatmaps, and risk dashboards.
- Familiarity with risk frameworks such as COSO ERM, ISO 31000, and NIST RMF, and experience applying them in business settings.
- Experience developing and monitoring key risk indicators (KRIs) and early-warning metrics.
- Hands-on exposure to GRC platforms e.g., Diligent, Archer, MetricStream, ServiceNow.
- Ability to align risk and compliance activities with governance structures and strategic objectives.
- Understanding of third-party vendor risk management processes.
- Demonstrated ability to translate complex data into clear, actionable insights for executive-level decision making and board reporting.
- Working knowledge or experience in extraction and exploratory analysis of data from a range of data sources, leveraging data analysis and data visualization tools and techniques e.g., Tableau, SQL, IDEA, Power BI, Python.
- Experience applying analytics and emerging AI/ML techniques in risk, audit, or compliance contexts e.g., anomaly detection, predictive scoring, or automated reporting.
- Strong verbal and written communication skills, with the ability to effectively communicate risk and data insights to senior executives.
- Strong project management skills with the ability to juggle multiple work efforts, be agile, and adapt quickly to changing needs.
- A bachelor’s degree or equivalent experience in Accounting, Finance, Business, Risk Management, Economics, or Management Information Systems.
- Demonstrated curiosity and practical experience applying AI LLM tools in risk intelligence - such as dynamic reporting, predictive analytics, or continuous monitoring - while ensuring interpretability for executives.
- Proven ability to scale AI-enabled insights into governance processes without over-engineering solutions.
- Track record of building or maturing risk analytics programs within a corporate or consulting environment.
- Professional certifications such as Certified Internal Auditor (CIA), Certified Information Systems Auditor (CISA), or Certification in Risk Management Assurance (CRMA) that reinforce technical credibility.
Benefits & Perks
Hybrid work schedule requiring 2 days per week in Bangalore office and 3 days remote
Competitive total compensation package
Employee-led remote and flexible working arrangements
Health benefits
Ready to Apply?
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