Python Developer — Front Office Equity Derivatives

Talan Group; New York (NY); Hybrid; USD 100,000 - 140,000; Full time

Benefits offered by this job

401(k) retirement plan with company 0

Health, dental, and vision insurance

Paid vacation and holidays

Job summary

Talan is an international group that supports clients in Data & AI transformations. We seek a Python Developer for the Front Office – Equity Derivatives desk in NYC, hybrid with at least 3 days onsite.

The role focuses on maintaining EQD tools, enhancing data platforms, and delivering business-driven functionality. Ideal candidates have 4+ years in OOP with Python backend, hands-on Jenkins, Docker, and Kubernetes experience, and a willingness to learn finance concepts.

Qualifications

• 4+ years of experience in object-oriented development with 2+ years in Python backend development.
• Hands-on experience with CI/CD pipelines including Jenkins, Docker and Kubernetes.
• Understanding of the equity derivatives business or strong willingness to learn.
• Adaptable, proactive mindset with a growth mentality.

Responsibilities

• Maintain, monitor, and support EQD tools used daily by traders, structurers, and risk managers, ensuring reliability and performance.
• Contribute to the development of a transversal data platform that accelerates the creation of new applications across the firm.
• Manage CI/CD pipelines using Jenkins, Docker, and Kubernetes for builds, containerization, and deployment.
• Develop and enhance full-stack features with a focus on delivering business-driven functionality.
• Collaborate with business teams to understand requirements and translate them into technical solutions, while deepening finance knowledge.

Skills

Python

OOP Development

Tools

Jenkins

Docker

Kubernetes

Job description

Talan is an international group that supports clients in Data & AI transformations. We seek a Python Developer for the Front Office – Equity Derivatives desk in NYC, hybrid with at least 3 days onsite.

The role focuses on maintaining EQD tools, enhancing data platforms, and delivering business-driven functionality. Ideal candidates have 4+ years in OOP with Python backend, hands-on Jenkins, Docker, and Kubernetes experience, and a willingness to learn finance concepts.