2. Technical Leadership, Governance & Delivery
SDLC & Code Quality: Enforce industry-standard SDLC best practices and contribute to code quality through rigorous code reviews, automated testing, and continuous integration.
Project Ownership: Take full ownership of technical initiatives, including planning, forecasting, project tracking, governance, and managing technology budgets at the team level.
Change Management: Drive continuous improvement, change management, and modern software engineering practices within the development team.
Independent Execution: Work independently, multi-task, and manage priorities effectively under pressure to meet tight deadlines or unexpected changes in requirements.
3. Collaboration & Stakeholder Management
Cross-Functional Partnership: Act as a key liaison and partner with Risk Managers, Risk Analytics, Senior Quants, Front Office (FO), DevOps, and Production Support teams to ensure seamless IT deliveries.
Global Collaboration: Work effectively in a globally matrixed environment, partnering with virtual teams and external partners across different time zones.
Executive Communication: Consistently demonstrate clear, concise, and impactful written and verbal communication, ranging from technical discussions within the team to presentations for senior business executives.
Required Technical Qualifications
I. Core Python, DSA & System Development
Experience: 12+ years of hands-on application development experience, with a primary focus on Python, Data Structures and Algorithms.
Python Expertise: Expert-level Python 3.x proficiency, with deep knowledge of core concepts, advanced computation libraries, and design patterns (OOP, SOLID).
Frameworks: Advanced knowledge of Python web and API frameworks (FastAPI, Django, Flask).
Distributed Systems: Strong understanding of software architecture principles and distributed system design (Microservices, Event-Driven Architecture, caching strategies).
Database Systems: Extensive experience with relational databases (PostgreSQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, Redis), including advanced SQL query writing and optimization.
Operating Systems: Highly experienced with Unix/Linux-based operating systems, shell scripting, and system-level development.
II. Cloud, DevOps & Testing
Cloud Platforms: Strong background in cloud platforms AWS or IBM symphony grid.
Containerization & Orchestration: Hands-on experience with Docker containerization and contributing to Kubernetes orchestration.
CI/CD Pipelines: Proven exposure to and experience with Continuous Integration and Continuous Delivery (CI/CD) systems (Jenkins, GitLab CI, GitHub Actions, Bitbucket Pipelines) for automated deployment.
Testing & TDD: Proficiency in automated testing frameworks (Pytest, unittest) and Test-Driven Development (TDD) methodologies.
Security: Solid understanding of secure coding practices and application of security principles (OWASP Top 10).
Version Control: Expertise in Git (Bitbucket, GitHub) for advanced branching, merging, and pull request workflows.
III. Quantitative & Risk Domain
Quantitative Computation: Multiple years of experience developing quantitative/calc-intensive Python solutions with advanced computation libraries (e.g., NumPy, Pandas, SciPy).
Risk Methodologies: Sound understanding of and exposure to various Risk Methodologies (e.g., Market Risk, Stress Testing, Value at Risk (VaR), Sensitivities).
Domain Delivery: Proven track record of delivering Stress Testing and Regulatory Risk projects in the Market Risk domain.
Mathematical Modeling: Exposure to mathematical modeling and financial insights.
IV. Artificial Intelligence (AI) Integration (Exposure)
AI/ML Frameworks: Exposure to AI/ML tools and frameworks.
Development Workflows: Practical experience utilizing AI tools (GitHub Copilot, Devin, Claude, Gemini, GPT) to optimize development workflows.
Agentic AI: Experience with Agentic AI tools, including writing Agents and Skills, and contributing to Agentic frameworks.
Generative AI: Understanding and practical application of Generative AI concepts in software development.
Professional & Leadership Skills
Agile/Scrum: Deep understanding and practical experience working within Agile/Scrum methodologies.
Analytical Thinking: Strong analytical, logical, systems thinking, and critical analysis skills.
Design Thinking: Demonstrated design thinking skills to solve complex business and technical problems.
Ownership & Adaptability: Ability to take complete ownership of various parts of a project, adapt to changing priorities, and perform under pressure.
Preferred / "Good to Have" Qualifications
Banking Domain: Prior experience working within the banking/financial services domain, specifically in pricing, valuation, or risk management systems.
Certifications: Relevant Cloud (AWS, Azure, GCP) or Industry Certifications.
Financial Certifications: CFA (Chartered Financial Analyst) or FRM (Financial Risk Manager) certification is a strong plus.
Job Family Group
Technology
Job Family
Applications Development
Time Type
Full time
- Most Relevant Skills
- Please see the requirements listed above.
- Other Relevant Skills
- For complementary skills, please see above and/or contact the recruiter.
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