Senior Quantitative Analyst (R/ R Shiny)

Job Description: Senior Quantitative Analyst
Location: Pune (Hybrid) Department: Methodologies Reports to: Sector Lead
Role Summary
We are seeking a highly skilled and proactive Senior Quantitative Analyst to join our team. The successful candidate will own the end-to-end model development value chain using R Shiny, while simultaneously mastering our complex Ratings criteria and existing model portfolio. We are looking for a forward-thinking professional who doesn't just follow existing workflows but actively leverages cutting-edge technologies—including Generative AI (GenAI)—to accelerate coding, optimize workflows, and enhance analytical output. This role requires a high degree of autonomy, rapid learning agility, and the ability to manage complex, multi-faceted projects with minimal supervision.
Key Responsibilities
End-to-End Model Lifecycle Management: Lead all activities across the model development value chain, including model architecture, development, rigorous testing, validation, and deployment using the R Shiny framework.
Domain Mastery & Upskilling: Quickly acquire and apply deep subject matter expertise in our proprietary Ratings criteria and existing model portfolio to ensure all technical outputs are contextually accurate and aligned with business standards.
Advanced Tool Development: Design and deploy sophisticated, high-performance R Shiny applications that translate complex credit rating models into intuitive tools for stakeholders.
AI-Augmented Development: Proactively leverage Generative AI capabilities (e.g., LLMs for code generation, debugging, and documentation) to increase development velocity, improve code quality, and automate repetitive programming tasks.
Autonomous Project Leadership: Independently manage multiple high-priority workstreams, prioritizing tasks effectively and delivering high-quality results under minimal guidance from management.
Quality Assurance & Governance: Implement robust testing frameworks to ensure the integrity of models and applications, ensuring they meet all internal governance and regulatory standards.
Required Skills & Qualifications
Technical Mastery: Expert-level proficiency in R programming and extensive experience building production-grade applications in R Shiny.
GenAI Proficiency: Proven ability to integrate Generative AI tools into the software development lifecycle (SDLC) to enhance coding efficiency, troubleshooting, and technical documentation.
Rapid Learning Agility: A demonstrated track record of quickly mastering complex, specialized domain knowledge (e.g., financial methodologies, regulatory frameworks, or proprietary rating logic).
Quantitative Background: Advanced degree (Bachelors or Masters preferred) in a quantitative discipline such as Statistics, Mathematics, Financial Engineering, or Computer Science.
Additional Qualifications
Experience in Credit Ratings, Risk Management, or Financial Modeling within a global financial institution.
Proficiency with version control (Git) and automated deployment pipelines (CI/CD).
Knowledge of Python or other languages used in conjunction with R for machine learning workflows.

Work arrangement
No