Risk Tech Engineer: C# & Java for Real-Time Trading

Goldman Lloyds International; New York (NY); On-site; USD 400,000 - 550,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

C# / Java

Distributed systems

APIs

Data-intensive applications

Tools

AWS

Job description

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.