Software Engineer

Multi billion AUM hedge fund is seeking a Quant / Software Engineer with extensive experience building front-office trading, risk, and analytics platforms within multi-strategy hedge fund and institutional trading environments.

• Strong background supporting multi-asset trading businesses including equities, fixed income, macro, futures, FX, credit, and derivatives strategies across highly scalable financial platforms.
• Deep hands-on expertise developing high-performance applications using Python or C++ for portfolio management, execution, market data processing, pricing, PnL, and risk analytics workflows.
• Experience partnering directly with Portfolio Managers, Traders, Quant Researchers, Risk Teams, and Infrastructure Engineering groups to build and enhance mission-critical investment systems.
• Strong experience developing low-latency and distributed systems supporting real-time trading, order management, risk calculations, and market data distribution across multi-strategy investment platforms.
• Expertise building scalable data pipelines, analytics frameworks, and trading infrastructure capable of processing large volumes of real-time and historical market data.
• Hands-on experience with multithreading, concurrency, memory optimization, performance tuning, and Linux-based distributed computing environments.
• Strong technical background across Python, C++, SQL, Kafka, REST/gRPC APIs, Linux, Kubernetes, AWS, and cloud-native microservices architectures.
• Experience building and supporting front-office tools including OMS/EMS integrations, pricing libraries, scenario analysis platforms, VaR/risk systems, and portfolio exposure monitoring solutions.
• Skilled in designing event-driven architectures and workflow automation solutions to improve trading efficiency, operational scalability, and investment decision support.
• Strong understanding of capital markets concepts including trade lifecycle, portfolio construction, market microstructure, execution workflows, and risk management methodologies.
• Experience working in highly agile hedge fund environments with direct exposure to fast-paced trading desks, production support, and time-sensitive investment workflows.
• Proven ability to optimize system performance, reduce processing latency, improve platform resiliency, and deliver scalable enterprise-grade financial technology solutions.
• Strong communicator with experience collaborating across quantitative research, trading, operations, infrastructure, and senior technology leadership teams in multi-strategy hedge fund organizations.