My direct client is looking for a Python Developer. Details below.
Jersey City , NJ
Hybrid – 3 days onsite
W2 only
The position is for a Python Developer in Risk Americas, focusing on the design, development, and deployment of robust automation tools and internal modules. This role is centred on transforming complex technical and functional specifications into high-performance software solutions.
- Tool Development: Build and maintain sophisticated automation tools to handle complex data investigations, risk analysis, and workflow management.
- Workflow Automation: Develop scripts and applications to automate manual processes, including the extraction, transformation, and loading (ETL) of data from legacy formats (e.g., Excel) into structured systems.
- Module Construction: Design and implement specialized modules for reporting, automated commentary generation, and systematic escalation workflows.
- Data Integration: Create seamless integrations between various data sources, internal APIs, and third-party systems.
- Code Quality & Reliability: Write clean, scalable, and well-documented code. Ensure all automation tools are rigorously tested to handle edge cases and high-volume data processing.
- Optimization: Continuously monitor and optimize existing automation tools for speed, accuracy, and resource efficiency.
Develop and maintain Python-based applications and automation solutions that improve efficiency, control, and scalability across the RISK stream.
Work with Risk users, analysts, and technology teams for user acceptance testing, and to ensure a smooth deployment of the solutions in production
Deliver robust Python solutions, including scripts, tools, workflows, and small applications, ensuring they are well tested, documented, maintainable, and aligned with RISK standards.
Knowledge, Skill and ExperienceExpert Python Proficiency: Advanced knowledge of Python and its ecosystem.
Data Manipulation: Extensive experience with libraries such as Pandas, NumPy, and Openpyxl for complex data processing and spreadsheet automation.
Database Management: Strong proficiency in SQL and experience interacting with relational databases.
Software Engineering Best Practices: Mastery of version control (Git), unit testing frameworks, and the ability to write modular, maintainable code. CI/CD pipeline experience is preferable.
Automated Workflows: Experience building notification engines, escalation logic, or reporting modules.
AI exposure: prior exposure to AI would be an advantage.
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