Hiring a Risk Analytics & Data Solutions Consultant for non-financial sectors, including Telecom, Power, Mining, Pharma, Clean Energy, and Sports.
Responsibilities encompass designing and implementing advanced analytics solutions, developing real-time risk dashboards, and managing data-driven risk assessments.
Key Responsibilities:
- Develop and maintain central risk data-marts and data lineage mappings.
- Implement Python-based Monte Carlo engines for CFaR, scenario, and sensitivity analysis.
- Design self-service dashboards with real-time KRI alerts and machine learning-driven earlywarning signals.
- Support clients with the adoption of advanced risk analytics solutions.
- Provide guidance on data-driven decision-making and risk visualization best practices.
Qualifications:
- Degree in Quantitative Finance, Data Science, Mathematics, or related field.
- Certifications such as FRM, CFA, or specialized data analytics credentials preferred.
Key Skills & Experience:
- 3-8 years’ experience in risk analytics, data modelling or similar roles.
- Proficiency in Python, SQL, and data visualization tools (Tableau, Power BI).
- Hands-on experience with Monte Carlo simulation and statistical modelling.
- Solid analytical thinking, problem-solving abilities, and effective communication skills