Finance Python Developer - Real-Time Data & REST APIs

Matlen Silver; New York (NY); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Matlen Silver is seeking a Python Developer to join a collaborative technology team supporting and enhancing core business applications, data processes, and analytics solutions. The role sits at the intersection of technology and finance, offering exposure to Risk, Finance, and Operations.

Responsibilities include building Python-based services, data pipelines, real-time feeds, and SQL-driven data management, with an emphasis on stability and scalability across overnight processes.

Qualifications

• 3-6 years of professional software development experience.
• 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.
• Strong communication and interpersonal skills.

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 development

Pandas & DataFrames

SQL

REST APIs

Real-time data processing

Data pipelines

Communication skills

Tools

Flask

NumPy

Excel

Job description

Matlen Silver is seeking a Python Developer to join a collaborative technology team supporting and enhancing core business applications, data processes, and analytics solutions. The role sits at the intersection of technology and finance, offering exposure to Risk, Finance, and Operations.

Responsibilities include building Python-based services, data pipelines, real-time feeds, and SQL-driven data management, with an emphasis on stability and scalability across overnight processes.