Job Description

About the Role:

We are seeking an experienced  Python Engineer  to join our Trading Systems Technology team supporting  Fixed Income Trading Desks . This role requires a strong background in  trading systems development, quantitative model integration, and real-time application development  within the financial services or asset management space. The ideal candidate will work directly with  Traders and Portfolio Managers  to enhance trading tools and analytics, ensuring robust, high-performance, and scalable solutions.

Key Responsibilities:

• Develop and support real-time, batch, and API-based applications for Fixed Income trading desks, including  Structured Products, Rates, Corporate, and Municipal Bonds .
• Integrate quantitative models and financial analytics into operational systems, ensuring accuracy and performance.
• Collaborate directly with  Traders, Portfolio Managers, and Quantitative Analysts  to gather requirements, implement system enhancements, and provide production support.
• Build and maintain scalable, high-availability trading tools and calculation engines.
• Design and develop applications leveraging  Python, AWS cloud services (EKS, API Gateway, Lambda, Redis), Postgres, and S3 .
• Integrate external market data feeds and trading interfaces from vendorslike  Bloomberg, TradeWeb, and others .
• Support the ongoing modernization and cloud migration of trading platforms.

REQUIREMENTS

Required Qualifications:

• 10–12 years of experience  in software development within  asset management or financial services , with a focus on trading systems.
• Strong expertise in  Python programming  for financial or trading applications.
• Direct experience working on  Fixed Income Analytics or Trading Systems , integrating quantitative models into operational workflows.
• Proven experience interfacing directly with  Traders, Portfolio Managers, and Front Office teams .
• Hands-on experience with  AWS services : EKS, API Gateway, Lambda, Redis, and S3.
• Proficiency in working with  Postgres databases  and integrating market data sourceslike  Bloomberg and TradeWeb .
• Strong understanding of building  real-time, event-driven applications, APIs, batch processes, and calculation engines  supporting trading or portfolio management teams.

Preferred Qualifications:

• Experience developing systems for  Structured Products, Rates, Corporates, or Municipals desks .
• Familiarity with cloud-native architecture and microservices frameworks.
• Strong communication skills and ability to work closely with Front Office teams in a high-pressure trading environment.

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