Python Software Engineer
Role Overview
The Software Engineer will focus on data and systems architecture supporting quantitative investment research and trading.
The role involves designing and developing robust, scalable data infrastructure that supports investment activities and operational efficiency.
The position is based on site in New York City.
Key Skills for This Role
Full Job Posting
About the Client
The client is a global investment firm using multi-strategy, multi-manager approaches across diverse asset classes.
The firm applies proprietary technology, data analytics, and investment strategies in a collaborative quantitative finance environment.
Role Overview
The Software Engineer will focus on data and systems architecture supporting quantitative investment research and trading.
The role involves designing and developing robust, scalable data infrastructure that supports investment activities and operational efficiency.
The position is based on site in New York City.
Key Responsibilities
- Lead the creation and enhancement of data processing and analysis systems.
- Develop scalable software components and high-quality data pipelines.
- Deploy quantitative research insights into live trading platforms.
- Ensure data integrity through automated testing, monitoring, and quality controls.
- Build APIs and microservices connecting research and trading systems.
- Develop reusable modular frameworks to accelerate research cycles.
- Stay current with distributed systems, data architecture, and quantitative finance technologies.
Essential Skills and Experience
- At least two years of professional software engineering experience in data-rich environments is required.
- Python and SQL proficiency, software design knowledge, clean coding standards, and maintainability experience are required.
- Clear technical communication, ownership, initiative, problem-solving, automation, DevOps, and containerization experience are required.
Preferred Experience
- Distributed systems such as Spark or Dask and orchestration tools such as Airflow or Prefect are preferred.
- Microservices architecture, event-driven design, cloud infrastructure, and automation tools are preferred.
- Quantitative trading, time series data, alternative datasets, machine learning, NLP, or LLM experience is preferred.
Workplace and Sponsorship
- Applicants must be based locally or in the United States and open to relocation.
- Visa sponsorship is not available for this position.
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