Quantitative Developer - Python for Trading Platform

Selby Jennings

Stamford (CT)

On-site

USD 150,000 - 210,000

Full time

17 hours ago
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Job summary

Selby Jennings is seeking a Quantitative Developer in Stamford, CT to build and scale technology platforms that support research, trading, risk, and data across the organization. You will work with investment professionals to design, develop, and enhance systems critical to the firm's investment process.

The role blends software engineering with quantitative finance, data pipelines, and cloud-native infrastructure, offering ownership of platform architecture and delivery across asset classes.

Qualifications

  • 5+ years of software engineering in financial services.
  • Proficiency in Python; experience with OO languages such as C#, C++, or Java.
  • Strong SQL and data engineering capabilities.
  • Experience building scalable APIs, distributed systems, and production-grade software.
  • Familiarity with market data, trading or research platforms.
  • Solid understanding of engineering best practices including testing, version control, CI/CD.

Responsibilities

  • Design, build, and enhance core investment technology platforms.
  • Develop APIs, services, and internal tools supporting research, trading, and workflows.
  • Integrate disparate systems and data into a scalable, unified platform.
  • Contribute to architecture and platform design decisions; support full SDLC.

Skills

Python
C#
C++
Java
SQL
Data engineering
CI/CD
Communications

Tools

Docker
Kubernetes
Snowflake
Azure
AWS

Job description

Selby Jennings is seeking a Quantitative Developer in Stamford, CT to build and scale technology platforms that support research, trading, risk, and data across the organization. You will work with investment professionals to design, develop, and enhance systems critical to the firm's investment process.

The role blends software engineering with quantitative finance, data pipelines, and cloud-native infrastructure, offering ownership of platform architecture and delivery across asset classes.

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