R Shiny Developer
Summary
Senior Quantitative Analyst at CRISIL in Pune (hybrid) owning the end-to-end development of credit rating models and stakeholder tools built on the R Shiny framework. Requires expert R/Shiny skills, GenAI-augmented development practices, and a quantitative degree; credit ratings or financial modeling experience is a plus.
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.