Envision Technology Solutions
Sr. Python Developer w/d Banking domain Exp (Jersey City)
Contract senior Python developer on a bank's Market Risk Technology team in Jersey City (5 days onsite). Day to day: building and owning Python data pipelines for daily risk analytics, applying data quality checks, optimizing performance, and supporting production within Agile sprints.
- Compensation
- Not disclosed
- Location
- Jersey City, United States
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Contract
- Experience
- 5+ years
- Category
- Software engineering
- Posted
Skills
Must have
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience)
- 5–6 years of hands-on Python for data processing and automation (e.g., pandas; packaging, testing)
- Solid understanding of data modeling and ETL/ELT patterns; experience building maintainable pipelines
- Experience implementing data quality checks and operational monitoring aligned to accuracy/timeliness goals
- Proficiency with Git-based workflows and CI/CD; familiarity with production change management
- Ability to take ownership of a project or feature set, coordinate across teams, and deliver on time
- Strong analytical and communication skills; collaborative approach with risk and business stakeholders
Nice to have
- SQL skills in at least one major dialect (e.g., Oracle, SQL Server, PostgreSQL), including performance tuning
- Experience with Databricks (Python notebooks, Delta Lake/Unity Catalog) and/or PySpark
- Knowledge of cloud data platforms (e.g., AWS, Azure), including object storage (S3/ADLS) and IAM basics
- Familiarity with market risk concepts (sensitivities/Greeks, VaR, stress testing, limits, P&L decomposition)
- Experience using generative AI tools for code generation, testing, and developer productivity with appropriate engineering controls
Full description
Sr. Python Developer w/d Banking domain Exp Jersey City, NJ (5days Onsite)ContractJob Description: Role Description:
We are seeking a Senior Associate Developer (5–6 years’ experience) to join the Market Risk Technology team. You will design and build reliable Python-based data pipelines and curated datasets that support daily risk analytics. The role emphasizes hands-on delivery, data quality, performance, and collaboration with risk and business stakeholders, with ownership from planning through 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/features end-to-end: scope work, align with stakeholders, plan sprints, track progress, and deliver to SLAs.
- Apply data quality controls (validation, reconciliation, lineage) and monitor SLAs to ensure accuracy and timeliness.
- Improve performance and reliability of batch and near-real-time workflows through profiling and targeted optimization.
- Translate risk/business requirements into clear technical tasks and deliver features through Agile sprints.
- Automate routine workflows (packaging, testing, CI/CD, scheduling) and contribute to coding standards and reviews.
- Participate in production support, assist with incident resolution, and document fixes and runbooks.
- Create concise technical documentation, share knowledge with the team, and 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 for data processing and automation (e.g., pandas; packaging, testing).
- Solid understanding of data modeling and ETL/ELT patterns; experience building maintainable pipelines.
- Experience implementing data quality checks and operational monitoring aligned to accuracy/timeliness goals.
- Proficiency with Git-based workflows and CI/CD; familiarity with production change management.
- Demonstrated ability to take ownership of a project or feature set, coordinate across teams, and deliver on time.
- Strong analytical and communication skills; collaborative approach with risk and business stakeholders.
Preferred Qualifications:
- SQL skills in at least one major dialect (e.g., Oracle, SQL Server, PostgreSQL), including performance tuning.
- Experience with Databricks (Python notebooks, Delta Lake/Unity Catalog) and/or PySpark.
- Knowledge of cloud data platforms (e.g., AWS, Azure), including object storage (S3/ADLS) and IAM basics.
- Familiarity with market risk concepts (e.g., sensitivities/Greeks, VaR, stress testing, limits, P&L decomposition).