Risk Technology Software Engineer – C# / Java | Prop Trading

Goldman Lloyds International; New York (NY); Presencial; USD 400 000 - 550 000; Tempo integral

Resumo da oferta

Goldman Lloyds International in New York seeks a Risk Technology Software Engineer to develop platforms for portfolio analytics, trading risk and real-time risk monitoring.

Working with Risk Managers, Quant Researchers and Engineers, you will build scalable systems and data pipelines to understand exposures across automated trading strategies. Proficiency in C#/.NET or Java and understanding of distributed architectures are essential; AWS or cloud experience is a plus.

Qualificações

• Strong C#/.NET or Java software engineering experience.
• Strong understanding of distributed systems, APIs and data-intensive applications.
• Knowledge of financial markets and market/portfolio risk.
• Experience with AWS or other cloud technologies advantageous.

Responsabilidades

• Develop scalable risk systems and portfolio analytics applications.
• Build services supporting positions, exposures, P&L, limits and risk calculations.
• Engineer real-time and batch data processing pipelines.
• Improve the performance of large-scale analytical and distributed computing systems.
• Partner with Risk and Quant teams to implement new analytical requirements.

Conhecimentos

C# / Java

Distributed systems

APIs

Data-intensive applications

Ferramentas

AWS

Descrição da oferta de emprego

Risk Technology Software Engineer – C# / Java | Prop Trading

Systematic Proprietary Trading Firm | New York

TC Range: $400,000-$550,000

A leading systematic trading firm is seeking a Risk Technology Software Engineer to develop platforms supporting portfolio analytics, trading risk and real-time risk monitoring.

Working directly with Risk Managers, Quantitative Researchers and Engineers, you will build technology used to understand portfolio behaviour and exposures across automated trading strategies.

The Role

• Develop scalable risk systems and portfolio analytics applications.
• Build services supporting positions, exposures, P&L, limits and risk calculations.
• Engineer real-time and batch data processing pipelines.
• Improve the performance of large-scale analytical and distributed computing systems.
• Partner with Risk and Quant teams to implement new analytical requirements.

Requirements

• Strong C#/.NET or Java software engineering experience.
• Strong understanding of distributed systems, APIs and data-intensive applications.
• Knowledge of financial markets and ideally market risk or portfolio risk.
• Experience with AWS or other cloud technologies advantageous.

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