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We are seeking a highly experienced and technically proficient Lead Python Application Developer with 12+ years of hands-on experience to design, develop, and deliver critical, scalable, highly available, and performant applications. This role demands deep technical expertise, a strong focus on execution, and a proven ability to deliver robust software solutions, particularly within quantitative and market risk domains.
Job Responsibility:
Lead hands-on implementation and architecture of Python frameworks for scalable, resilient, and performant applications
Develop solutions adhering to architectural standards, utilizing in-depth technical and business domain knowledge
Enforce industry-standard SDLC best practices and contribute to code quality through reviews
Collaborate with cross-functional teams (Risk, Quants, FO, DevOps, Production Support) for seamless delivery
Drive development for Stress Testing and Regulatory Risk projects in the Market Risk domain
Manage project technical aspects, including planning, governance, and taking ownership of initiatives
Deliver high-quality solutions independently within a globally matrixed environment and under tight deadlines
Requirements:
12+ years of hands-on experience in Application Development, primarily with Python
Expert-level Python 3.x proficiency for scalable, resilient, and high-performance applications
Advanced knowledge of Python frameworks (FastAPI, Django, Flask), best practices, and design patterns (OOP)
Strong understanding of software architecture principles and distributed system design (Microservices, Event-Driven Architecture)
Extensive experience with relational (PostgreSQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, Redis), including advanced SQL
Proven expertise in designing, developing, and securing RESTful APIs and integration patterns
Hands-on experience with CI/CD systems (Jenkins, GitLab CI, GitHub Actions, Bitbucket Pipelines) for automated deployment
Highly experienced with Unix-based operating systems
Strong background in cloud platforms (AWS, Azure, GCP), including containerization (Docker) and contributing to Kubernetes orchestration
Advanced troubleshooting, debugging, and performance optimization for distributed systems
Proficiency in automated testing frameworks (Pytest, unittest) and TDD methodologies
Solid understanding of secure coding practices and application security principles (OWASP Top 10)
Expertise in Git (Bitbucket, GitHub) for advanced branching and pull request workflows
Experience developing Quantitative/Calc-intensive Python solutions with advanced computation libraries
Sound understanding and exposure to various Risk Methodologies
Exposure to mathematical modeling/finance insights
Exposure to AI/ML tools and frameworks (TensorFlow, PyTorch, scikit-learn)
Practical experience with AI tools (Copilot, Devin, Claude/Gemini/GPT) for development workflows
Experience with Agentic AI tools, including writing Agents and Skills, and contributing to Agentic frameworks
Understanding and practical application of Generative AI concepts in software development
Deep understanding and practical experience with Agile/Scrum methodologies
Exceptional ability to manage priorities and tasks effectively
Strong analytical, logical, systems thinking, and critical analysis skills
Excellent written and verbal communication for diverse audiences
Ability to work independently, take ownership, and collaborate effectively in global teams
Nice to have:
Polyglot Programming Exposure (e.g., Java)
Big Data Technologies (Apache Spark, Hadoop, Kafka) and data warehousing
Frontend Development (React, Angular, Vue.js)
Relevant Cloud or Industry Certifications
Experience with banking domain (pricing, risk), CFA/FRM certification