About the Role
This position involves applying quantitative methods to evaluate and mitigate financial, operational, and supply chain risks within a research-driven organization. The analyst will develop models, interpret data, and collaborate across departments to enhance risk-informed decision-making.
Responsibilities
- Develop statistical models to assess financial and supply chain risks
- Analyze large datasets to identify risk patterns and anomalies
- Support scenario analysis and stress testing for business continuity planning
- Collaborate with cross-functional teams to integrate risk insights into strategic initiatives
- Monitor key risk indicators and generate periodic reporting
- Evaluate the impact of market volatility on procurement and production costs
- Improve risk assessment frameworks using quantitative techniques
- Translate complex data findings into actionable business recommendations
- Maintain documentation for modeling methodologies and assumptions
- Ensure compliance with internal risk governance standards
- Participate in audits related to risk management processes
- Assist in the development of early warning systems for operational disruptions
- Work closely with finance and supply chain units to quantify exposure
- Update risk models based on evolving business conditions
- Contribute to enterprise risk management reporting
- Utilize programming tools for automation of risk analysis workflows
- Validate third-party risk assessments for accuracy and relevance
- Stay current with industry trends in quantitative risk modeling
- Present findings to technical and non-technical stakeholders
- Support ad hoc risk-related requests from senior leadership
Nice to Have
- Master’s degree in a quantitative discipline
- Professional certification in risk management (e.g., FRM, PRM)
- Experience in food technology or consumer goods sector
- Advanced programming skills in Python or R
- Exposure to machine learning applications in risk prediction
- Experience with enterprise risk management software
- Knowledge of global supply chain risk factors
- Background in forecasting models for demand or pricing
- Familiarity with ESG-related risk factors
- Track record of improving risk assessment accuracy
Compensation
Competitive salary with performance-based incentives
Work Arrangement
Hybrid
Team
Collaborative team within a global research and development division
About the Team
The team operates at the intersection of data science and business strategy, focusing on proactive risk identification and mitigation. Members work across global functions to ensure resilience in innovation and production processes.
Growth Opportunity
Analysts are encouraged to lead process improvements and contribute to long-term risk strategy development. High performers may advance into senior modeling or risk leadership roles.
Available for qualified candidates
