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Tech Stack
Tools & technologiesAWSAzureCassandraDistributed SystemsDjangoDockerFlaskGoogle Cloud PlatformJenkinsKubernetesMicroservicesMongoDBOraclePostgresPythonPyTorchRedisScikit-LearnSDLCSQLTensorflowUnix
About the role
Key responsibilities & impact- Lead hands-on implementation and architecture of Python frameworks for scalable, resilient, and performant applications
- Develop solutions according to architectural standards using technical and business domain knowledge
- Enforce SDLC best practices and contribute to code quality through reviews
- Collaborate with Risk, Quants, FO, DevOps, and Production Support teams
- Drive development for Stress Testing and Regulatory Risk projects in the Market Risk domain
- Manage project technical aspects, including planning, governance, and ownership of initiatives
- Deliver high-quality solutions independently within a globally matrixed environment and under tight deadlines
Requirements
What you’ll need- 6+ years of hands-on experience in Application Development, primarily with Python
- Expert-level Python 3.x proficiency
- Advanced knowledge of FastAPI, Django, Flask, OOP, and design patterns
- Strong understanding of software architecture and distributed systems, including Microservices and Event-Driven Architecture
- Extensive experience with PostgreSQL, Oracle, SQL Server, MongoDB, Cassandra, Redis, and advanced SQL
- Expertise designing, developing, and securing RESTful APIs and integration patterns
- Hands-on experience with Jenkins, GitLab CI, GitHub Actions, or Bitbucket Pipelines
- Highly experienced with Unix-based operating systems
- Strong background with AWS, Azure, or GCP; Docker; and Kubernetes
- Advanced troubleshooting, debugging, and performance optimization for distributed systems
- Proficiency with Pytest, unittest, and TDD methodologies
- Understanding of secure coding and OWASP Top 10
- Expertise with Git, Bitbucket, and GitHub branching and pull request workflows
- Experience developing quantitative/calculation-intensive Python solutions
- Understanding and exposure to risk methodologies
- Exposure to mathematical modeling/finance insights
- Exposure to TensorFlow, PyTorch, and scikit-learn
- Practical experience with Copilot, Devin, Claude/Gemini/GPT, and Agentic AI tools
- Understanding and practical application of Generative AI concepts
- Experience with Agile/Scrum methodologies
- Bachelor’s degree/University degree or equivalent experience
- Master’s degree preferred
- Excellent written and verbal communication skills
- Ability to work independently, take ownership, and collaborate effectively in global teams
Benefits
Comp & perks- Medical, dental & vision coverage
- 401(k)
- Life, accident, and disability insurance
- Wellness programs
- Paid vacation/planned time off
- Paid sick leave/unplanned time off
- Paid holidays
- Discretionary and formulaic incentive and retention awards for eligible employees