Risk Analyst

About EXL

EXL (NASDAQ : EXLS), founded in 1999 and headquartered in New York, is a global leader in data analytics, AI-driven digital operations, and risk & compliance solutions . With over 54,000 employees across six continents, EXL partners with top firms in insurance, banking, healthcare, retail, and beyond. They boast a 90% success rate in enterprise AI initiatives—helping clients integrate machine learning, cloud platforms, and deep domain expertise into mission-critical workflows.

Job Title

Risk Analytics Lead (Python & SQL)

Location

Pan‑India (Hybrid—flexible mix of office and remote work)

Experience

Minimum 5 years in analytics, data science, or risk management, with hands-on exposure to credit, collections, fraud, market, or operational risk domains.

Key Responsibilities

• Analyze and quantify risk across domains—credit, fraud, collections, market, operational—and translate findings into actionable insights
• Build predictive and scoring models (e.g. PD, LGD, anomaly detection) using Python (pandas, scikit-learn, etc.) and SQL
• Develop robust ETL / data pipelines to source, cleanse, transform, and integrate risk-related data
• Create and maintain dashboards using BI tools (e.g. Tableau, Power BI, Looker) to inform risk strategy and decision-making
• Monitor risk indicators, back-test models, and conduct model validation to ensure regulatory compliance and accuracy
• Collaborate with cross-functional teams (Finance, Legal, Compliance, IT, Operations) and engage with external auditors and regulators
• Document methodologies, model assumptions, data definitions, and workflows for governance and auditability
• Mentor junior analysts in best practices—coding, modeling, data stewardship, and domain knowledge

Required Skills