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Risk Analyst

Risk Analyst

EXL

5 years

0 Lacs

India

Posted:3 days ago| Platform:

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Skills Required

risk data analytics ai compliance healthcare learning python management analyze scoring etl tableau power looker strategy test model finance governance coding scripting development numpy query joins regression clustering analysis engineering visualization dashboard ifrs communication engagement collaborative mentoring

Work Mode

Remote

Job Type

Full Time

Job Description

🏢 About EXL

data analytics, AI-driven digital operations, and risk & compliance solutions

📋 Job Title

Risk Analytics Lead (Python & SQL)

🌍 Location

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

🎯 Experience

5 years

🛠 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

Python:
Proficient in scripting, data manipulation, model development (pandas, NumPy, scikit-learn)
SQL:
Advanced query capabilities (complex joins, window functions, performance optimization)
Risk Modeling & Statistics:
Strong foundation in regression, classification, clustering, time series, survival analysis; experience with credit/fraud risk metrics
Data Engineering:
Experience building or supporting ETL pipelines; comfort coordinating with data engineering teams
Visualization & Reporting:
Expertise in dashboard tools and presenting insights to stakeholders
Domain Knowledge & Regulatory Awareness:
Familiarity with frameworks like Basel, IFRS 9 plus RBI/SEBI/IRDAI guidelines
Soft Skills:
Excellent communication, analytical thinking, project management, and stakeholder engagement abilities
Collaborative Mindset:
Experience working in cross-functional teams and mentoring junior resources

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