Senior Python Developer – Banking Experience

Requirements:

• Bachelors 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 tools such as pandas, packaging, and testing.
• Solid understanding of data modeling and ETL/ELT patterns, with experience building maintainable pipelines.
• Experience implementing data quality checks and operational monitoring to support accuracy and timeliness goals.
• Proficiency with Git-based workflows and CI/CD, and familiarity with production change management.
• Ability to own projects or feature sets, coordinate across teams, and deliver on time.
• Strong analytical and communication skills, with a collaborative approach to working with risk and business stakeholders.
• SQL skills in at least one major dialect, such as Oracle, SQL Server, or PostgreSQL, including performance tuning, are preferred.
• Experience with Databricks, including Python notebooks and Delta Lake or Unity Catalog, and/or PySpark, is preferred.
• Knowledge of cloud data platforms such as AWS or Azure, including object storage like S3 or ADLS and IAM basics, is preferred.
• Familiarity with market risk concepts such as sensitivities/Greeks, VaR, stress testing, limits, and P&L decomposition is preferred.
• Experience using generative AI tools for code generation, testing, and developer productivity—with peer review, automated testing, and secure usage practices—is preferred.

Responsibilities:

• Design and build Market Risk data pipelines in Python, from ingestion and transformation through delivery to analytics consumers.
• Manage projects and features end to end by scoping work, aligning with stakeholders, planning sprints, tracking progress, and delivering to SLAs.
• Apply data quality controls, including validation, reconciliation, and lineage, and monitor SLAs for accuracy and timeliness.
• Improve the performance and reliability of batch and near-real-time workflows through profiling and targeted optimization.
• Translate risk and business requirements into technical tasks and deliver features through Agile sprints.
• Automate routine workflows such as packaging, testing, CI/CD, and scheduling, and contribute to coding standards and reviews.
• Support production operations, help resolve incidents, and document fixes and runbooks.
• Prepare concise technical documentation, share knowledge with the team, and mentor junior engineers as needed.

Technologies:

• AI
• AWS
• Azure
• CI/CD
• Cloud
• Databricks
• ETL
• Git
• IAM
• Support
• Oracle
• PostgreSQL
• Python
• PySpark
• SQL
• Unity
• pandas
• GameDev

More

We are hiring a Senior Associate Developer for our Market Risk Technology team in Jersey City, New Jersey. This is a contract role requiring five days onsite per week. The position focuses on building reliable Python-based data pipelines and curated datasets for daily risk analytics, with an emphasis on hands-on delivery, data quality, performance, and collaboration with risk and business stakeholders. Our developer will take ownership from planning through production and ongoing support.

last updated 43 week of 2026