Job Summary
We are seeking a Senior Associate Developer with 5-6 years of experience to join the Market Risk Technology team. The role will focus on designing and building reliable Python-based data pipelines and curated datasets that support daily risk analytics. The position emphasizes hands-on delivery, data quality, performance, and collaboration with risk and business stakeholders, with ownership spanning planning, development, production, and support.
Key Responsibilities
• Design and implement Market Risk data pipelines in Python, from ingestion and transformation through delivery to analytics consumers.
• Own projects and features end to end, including scoping work, aligning with stakeholders, planning sprints, tracking progress, and delivering to SLAs.
• Apply data quality controls including validation, reconciliation, and lineage to ensure accuracy and timeliness.
• Monitor SLAs and address data quality and operational issues.
• Improve the performance and reliability of batch and near-real-time workflows through profiling and targeted optimization.
• Translate risk and business requirements into clear technical tasks and deliver features through Agile sprints.
• Automate routine workflows including packaging, testing, CI/CD, and scheduling.
• Contribute to coding standards and code reviews.
• Participate in production support and assist with incident resolution.
• Document fixes, runbooks, and technical processes.
• Create concise technical documentation and share knowledge with the team.
• Mentor junior engineers as needed.
Required Qualifications
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 5-6 years of hands-on Python experience for data processing and automation, including technologies such as pandas, packaging, and testing.
• Experience with Market Risk technology, risk analytics, or related financial data environments.
• Solid understanding of data modeling and ETL/ELT patterns.
• Experience building maintainable and reliable data pipelines.
• Experience implementing data quality checks and operational monitoring aligned with accuracy and timeliness requirements.
• Proficiency with Git-based workflows and CI/CD.
• Familiarity with production change management.
• Demonstrated ability to take ownership of projects or feature sets, coordinate across teams, and deliver within established timelines.
• Strong analytical and communication skills.
• Ability to collaborate effectively with risk and business stakeholders.
