Finance-Python Developer (Hybrid, Contract-to-Hire)

Matlen Silver; New York (NY); Hybrid; USD 110,000 - 140,000; Full time

Job summary

Matlen Silver in New York City is seeking a Python Developer for a 1-year contract-to-hire to join a collaborative technology team supporting critical business applications, data processes, and analytics. You will build and maintain Python-based services, develop data pipelines, and work with Pandas and SQL in a finance-focused environment, interfacing with Risk, Finance, and Operations.

Hybrid schedule with onsite Monday-Thursday and remote Fridays, 8:30 AM-5:30 PM, and opportunity to grow into

Qualifications

• 3-6 years of professional software development experience.
• Strong Python development skills.
• Hands-on experience with Pandas and DataFrames.
• Experience writing and optimizing SQL queries.
• Understanding of data pipelines and real-time data processing.
• Experience working with REST APIs.
• Exposure to financial services or financial data.

Responsibilities

• Develop and maintain Python-based applications and services.
• Build and support data pipelines, real-time data feeds, and REST API integrations.
• Work with large datasets using Pandas and DataFrames.
• Develop SQL queries and support data management initiatives.
• Assist with projection modeling and financial data analysis.
• Provide support for overnight business-critical processes and troubleshoot production issues as needed.
• Monitor system events and participate in issue resolution efforts.
• Collaborate with Risk, Finance, Operations, and Technology teams on new initiatives and enhancements.
• Contribute to backend system improvements, migrations, and ongoing technical projects.
• Help improve the stability, efficiency, and scalability of existing solutions.

Skills

Python

Pandas/DataFrames

SQL queries

REST APIs

Financial data

Communication

Tools

NumPy

Excel

Flask

Job description

Matlen Silver in New York City is seeking a Python Developer for a 1-year contract-to-hire to join a collaborative technology team supporting critical business applications, data processes, and analytics. You will build and maintain Python-based services, develop data pipelines, and work with Pandas and SQL in a finance-focused environment, interfacing with Risk, Finance, and Operations.

Hybrid schedule with onsite Monday-Thursday and remote Fridays, 8:30 AM-5:30 PM, and opportunity to grow into