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EY

Senior Risk Analytics – Python

EY

Risk Analytics Analyst driving Python-based AI/ML solutions for risk management at EY. Collaborating on developing risk analytics platforms and mentoring junior engineers.

Posted 7/24/2026full-timeGurgaon • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expert-level proficiency in Python programming and extensive experience in designing risk analytics pipelines. Capable of architecting and optimizing data workflows while mentoring junior engineers and collaborating with cross-functional teams.

Highest-signal resume keywords
Python ProgrammingRisk Analytics Pipeline DesignData Engineering in OptroMicroservices and CI/CD PipelinesSQL and Database Performance Tuning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Python ProgrammingRisk Analytics Pipeline DesignData Engineering in OptroSQLDatabase Performance Tuning
Soft Skills
MentoringCollaboration
Tools & Technologies
MicroservicesCI/CD PipelinesAzureAWSGCP
Industry Keywords
RiskControlsComplianceFraudAudit Analytics

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformMicroservicesPythonSQL

About the role

Key responsibilities & impact
  • Lead design and development of Python-based AI/ML solutions
  • Architect, build, and optimize data pipelines and workflows
  • Identify performance bottlenecks and implement optimizations
  • Enable explainable, auditable risk analytics platforms
  • Collaborate with cross-functional teams for technical solutions
  • Mentor junior engineers and enforce best practices

Requirements

What you’ll need
  • 4-6 years of experience in the field
  • Expert-level proficiency in Python programming
  • Experience designing risk analytics pipelines
  • Awareness of risk, controls, compliance, fraud, and audit analytics concepts
  • Strong experience in data engineering in Optro
  • Hands-on experience with microservices and CI/CD pipelines
  • Proficiency in SQL and database performance tuning
  • Familiarity with cloud platforms (Azure preferred, AWS/GCP optional)
  • Bachelor's degree in computer science or related discipline

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Professional development opportunities