We are seeking an experienced, motivated and technically proficient Senior Python Application Developer with 9+ years of hands-on experience to design, develop, and deliver robust, performant and scalable applications.
This role demands deep technical expertise and a strong focus on execution, preferably within finance and risk domains.
Key Technical Responsibilities:
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. Required Technical Qualifications:
I. Core Python & System Development:
9+ years of hands-on experience in Application Development, primarily with Python. Expert-level Python proficiency for scalable, resilient, and high-performance applications. Advanced knowledge of Python frameworks (FastAPI, SqlAlchemy), best practices, and design patterns. Strong understanding of software architecture principles and distributed system design (Microservices, Event-Driven Architecture). Extensive experience with relational (PostgreSQL, Oracle) and NoSQL databases (MongoDB, Redis), including advanced SQL. Proven expertise in designing, developing, and securing RESTful APIs and integration patterns. Hands-on experience with CI/CD systems (Tekton/Jenkins/GitHub Actions, Harness/GitLab CI) for automated deployment. Highly experienced with Unix-based operating systems. II. Cloud & DevOps:
A working understanding of containerization (Docker) and Kubernetes orchestration. Able to troubleshoot/debug and optimize performance on 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 for standard branching and pull request workflows. III. Artificial Intelligence (AI) Integration (Exposure):
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. Professional Skills:
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. Desirable Qualifications:
Self-starting and problem solving nature. Polyglot Programming Exposure ( other language likes Java, C# or other paradigms such as imperative/functional/reactive programming). Big Data Technologies (Apache Spark, Hadoop, Kafka) and data warehousing. Frontend Development (React, Angular, Relevant Cloud or Industry Certifications. Experience with banking domain (pricing, risk), CFA/FRM certification. ------------------------------------------------------
Job Family Group:
Technology
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Job Family:
Applications Development
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Time Type:
Full time
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Most Relevant Skills
Please see the requirements listed above.
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Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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