Quantitative Developer – Python

Goldman Lloyds; New York (NY); Presencial; USD 180 000 - 320 000; Tempo integral

Resumo da oferta

Goldman Lloyds International in New York seeks a senior Python engineer to build and enhance technology supporting trading and risk functions within a global hedge fund environment.

You will design and deliver scalable Python services, robust APIs, and distributed components, collaborating with portfolio managers, traders, quants, and risk professionals to translate quantitative requirements into production-ready software.

Qualificações

• 5+ years of professional software development experience.
• Advanced Python programming skills.
• Experience with REST APIs, Protocol Buffers, Kafka or comparable service communication technologies.
• Familiarity with integrating Python applications into C++ systems or high-performance computational environments.
• Experience developing or supporting Excel-integrated financial applications.
• Understanding of pricing, valuation, sensitivities and portfolio risk.

Responsabilidades

• Engineer scalable Python applications and backend services supporting trading, pricing and portfolio risk.
• Develop robust APIs and integration frameworks connecting quantitative models with front-office applications.
• Build and maintain distributed services for complex calculations and data access.
• Integrate Python with existing analytics engines and enterprise data platforms.
• Deliver tools and integrations supporting Excel-based trading and risk workflows.
• Collaborate with Portfolio Managers, Traders, Quants and Risk professionals to translate requirements into production software.
• Improve system performance through concurrency, caching, profiling and optimization.
• Contribute to platform architecture, software quality, deployment, and production stability.

Conhecimentos

Python

Backend engineering

Distributed systems

REST APIs

Protocol Buffers

Kafka

C++ integration

Excel integration

Finance concepts

Performance optimization

Descrição da oferta de emprego

Quant Developer – Trading & Risk Technology | Hedge Fund

Prop Trading Firm | New York

Total Comp: Base + Cash Bonus

The Opportunity

An established global hedge fund is looking to hire a senior Python engineer to build and enhance technology supporting its investment, trading and risk functions. This is a hands-on development role focused on Python engineering, distributed systems and quantitative applications, with direct interaction across Portfolio Managers, Traders, Quantitative Researchers and Risk professionals.

Key Responsibilities

• Engineer scalable Python applications and backend services supporting trading, pricing and portfolio risk.
• Develop robust APIs and integration frameworks connecting quantitative models with front-office applications.
• Build and maintain distributed services that enable efficient access to complex financial calculations and investment data.
• Integrate Python software with existing analytics engines and enterprise data platforms.
• Deliver tools and integrations supporting Excel-based trading and risk workflows.
• Work with investment professionals to translate quantitative requirements into reliable, production-ready software.
• Improve system performance through concurrency, caching, profiling and computational optimisation.
• Contribute to platform architecture, software quality, deployment and ongoing production stability.

Requirements

• 5+ years of professional software development experience, with advanced Python programming skills.
• Strong background in backend engineering, API development and distributed application architecture.
• Experience with REST APIs, Protocol Buffers, Kafka or comparable service communication technologies.
• Familiarity with integrating Python applications into C++ systems or high-performance computational environments.
• Experience developing or supporting Excel-integrated financial applications.
• Understanding of financial products and quantitative concepts such as pricing, valuation, sensitivities, portfolio risk and scenario analysis.
• Strong knowledge of software design, data structures, algorithms and performance optimisation.
• Professional experience within hedge funds, investment banks, proprietary trading firms or financial technology environments.

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