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HLS Trading · 15 hours ago

Developer

HLS Trading is a systematic investment manager looking for talented individuals to join their team. The Core Developer will build and refine the platform for quantitative trading strategies, focusing on developing high-performance backend services and APIs, as well as real-time systems for trading infrastructure.
Financial Services
Hiring Manager
Christopher Lanctot
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Responsibilities

Architect and develop high-performance backend services and APIs serving as the foundation for quantitative research and trading operations
Design and build real-time, latency-sensitive systems for core trading infrastructure, including market data processing, order management, and execution pathways
Build, optimize, and manage scalable data pipelines for processing and validating large-scale financial datasets
Design and implement performant solutions for storing, querying, and analyzing large volumes of time-series and market data
Develop performance-critical components in compiled languages (C++, Rust, Go, or Java) where Python alone cannot meet latency or throughput requirements
Implement data models prioritizing query performance, reliability, and cost efficiency
Collaborate closely with the quantitative research team to translate their requirements into robust, production-grade solutions
Implement observability layers—logging, monitoring, and alerting—to ensure system transparency and reliability
Contribute to defining best practices for testing, code quality, and production readiness

Qualification

PythonC++Data ProcessingTime-Series DatabasesMonitoring Tools

Required

Experience: 3+ years of professional software development experience
Programming: Expert-level Python proficiency, including experience with large-scale data processing (NumPy, Pandas, Polars, PyTorch, or similar)
Systems Programming: Proficiency in at least one high-performance systems language (C++, Rust, Go, or Java) for latency-sensitive components
Data Systems: Hands-on experience working with very large datasets; familiarity with time-series databases (e.g., InfluxDB, TimescaleDB, KDB+/q), columnar stores (e.g., Parquet, DuckDB, ClickHouse), or similar
Observability: Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK, Datadog, or similar)

Preferred

Understanding of Futures and FX market data conventions and market microstructure
Experience with systematic trading or quantitative research workflows
Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
Exposure to CI/CD pipelines and infrastructure-as-code tooling (Terraform, Pulumi)

Benefits

Competitive compensation
Long-term profit-sharing

Company

HLS Trading

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Horizon Light Strategies (HLS Trading) is a Systematic Investment Manager.

Funding

Current Stage
Early Stage
Company data provided by crunchbase