Senior Quantitative Analyst R Shiny

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.