Fullstack Python Developer - Front Office

QUANTEAM - North America (RAINBOW PARTNERS Group); New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Quanteam, the founding entity of RAINBOW PARTNERS, seeks an experienced Python developer for a front-office engineering role in New York. You’ll join the technology team behind a leading global bank’s Equity Derivatives trading desks to build proprietary platforms used for pricing, hedging, and real-time risk monitoring.

You will work on live market-data feeds, valuation models, and analytics with some front-end work in Angular.

Qualifications

• 5+ years of expert-level Python in a trading/markets environment.
• Strong, hands-on understanding of equity derivatives: vol, Greeks, pricing models.
• Master's degree in Computer Science, Engineering, Financial Engineering, or related field.
• Experience resolving production incidents during market hours.
• Comfortable translating business needs to technical solutions with traders.
• Linux knowledge; PostgreSQL/SQL; CI/CD tooling.

Responsibilities

• Design and build Python services powering live market-data feeds and pricing/booking logic.
• Support hedging automation, intraday risk monitoring, and P&L attribution engines.
• Develop research and simulation libraries exposed via internal tooling and a web portal.
• Build back-end services for batch processing, job orchestration, and alerting.
• Contribute to CI/CD tooling as part of platform modernization.
• Collaborate with traders and risk managers to deliver enhancements without breaking workflows.
• Migrate ad-hoc scripts into audited, versioned pipelines.
• Provide live production support during trading hours and facilitate fast-track releases.
• Shape platform roadmap around AI/ML-driven analytics.

Skills

Python

OOP design

async/multithreading

PostgreSQL/SQL

CI/CD

Docker

Kubernetes

Git

Angular/TypeScript

ML pipelines

Front Office interfaces

Education

Master's degree in Computer Science or related field

Tools

Jenkins

Docker

Kubernetes

Git

Angular

TypeScript

PostgreSQL

Job description

As the founding entity of RAINBOW PARTNERS, Quanteam is a consulting firm specialized in Banking, Finance, and Financial Services. Through our core human values - proximity, teamwork, diversity, excellence - our 1000 expert consultants, hailing from 35 different nationalities, collaborate across 13 international offices: Paris, Lyon, New York, Montreal, London, Brussels, Luxembourg, Geneva, Lisbon, Porto, Casablanca, Madrid and Singapore.

CONTEXT

Join the technology team behind a leading global bank's Equity Derivatives trading desks. You'll be embedded with a Front Office engineering group building the proprietary platforms that traders, structurers, and risk managers rely on every day to price, hedge, and monitor exposure across listed and OTC products in real time. This is a fullstack Python role deeply integrated with the trading desk; you'll need to understand the products as well as the code.

RESPONSIBILITIES

• Design and build Python services powering live market-data feeds, vol surface calibration, and pricing/booking logic for listed and OTC options
• Support hedging automation (EOD), intraday risk monitoring, and P&L attribution engines used across the desk
• Develop research and simulation libraries for structuring and client analytics, exposed via internal tooling and a shared web portal (some front-end work in Angular required, but this is not a UI-focused role)
• Build and maintain back-end services for batch processing, job orchestration, and alerting
• Contribute to CI/CD tooling (Jenkins, Docker, Kubernetes) as part of a migration to the firm's modern internal dev platform
• Work directly with traders and risk managers to scope and deliver enhancements without breaking existing workflows, this requires genuine fluency in derivatives concepts, not just an engineering skillset
• Convert ad-hoc quant/analyst scripts and notebooks into properly versioned, tested, audit-compliant pipelines
• Provide live production support during trading hours; triage, fix, and deploy through a fast-track release process
• Help shape the platform's roadmap around AI/ML-driven analytics

PROFILE

• 5+ years of expert-level Python in a trading/markets environment, OOP design, async/multithreading, performance-sensitive service architecture
• Strong, hands-on understanding of equity derivatives: implied vol, Greeks, options pricing models, market-data structures, listed vs. OTC booking flows
• Master's degree in Computer Science, Engineering, Financial Engineering, or related field (or equivalent experience)
• Demonstrated ability to resolve high-pressure production incidents during market hours
• Comfortable working directly with trading/structuring desks to translate business needs into technical solutions
• Linux systems knowledge; PostgreSQL/SQL
• CI/CD stack: Jenkins, Docker, Kubernetes/Helm, Git, automated testing
• Working familiarity with Angular/TypeScript is a plus
• Bonus: experience shipping ML pipelines or embedding AI tooling into operational workflows
• Strong communicator, able to translate technical detail for front-office and senior stakeholders