remoteonsite
Lead Analyst - Quantitative & Risk Analytics 4C - Genpact
Software Engineer
Lead Analyst in Quantitative & Risk Analytics driving AI‑powered risk models, data science, and advanced analytics solutions for global enterprises using Python, R, SQL, and machine learning techniques.
About the role
Key Responsibilities
- Design, develop, and deploy scalable risk analytics models using Python, R, and SQL.
- Lead end‑to‑end data science projects, from data acquisition and cleaning to model validation and production deployment.
- Collaborate with cross‑functional teams to translate business requirements into analytical solutions and actionable insights.
- Implement and maintain robust data pipelines and model monitoring frameworks on cloud platforms.
- Communicate findings and recommendations to senior stakeholders through clear visualizations and reports.
Requirements
- 5+ years of experience in quantitative analytics, risk modeling, or data science.
- Proficiency in Python, R, and SQL with hands‑on experience in machine learning libraries (scikit‑learn, caret, etc.).
- Strong background in statistical modeling, probability, and risk assessment.
- Experience with cloud services (AWS, Azure, or GCP) and data pipeline orchestration.
- Excellent problem‑solving skills and ability to communicate complex concepts to non‑technical audiences.
Skills
pythonsqlmachine learning