Job Title: Software Engineer, Data (Quantitative Investment Sciences)
The Role
Our client, a global hedge fund, is seeking an exceptionally talented and experienced individual to join its elite investment team. As part of a revenue‑generating team, you’ll have a direct impact on P&L and work cross‑functionally to drive edge generation.
What you’ll do
- Data fuels our edge — as a Software Engineer, you architect greenfield systems and maintain robust infrastructure, with a focus on data automation, accessibility, quality, and scalability
- You will partner with quantitative researchers to enable cutting‑edge research and trading
- Design and implement scalable software systems for data processing and analysis
- Create innovative software libraries and enriched datasets that unlock research and LLM capabilities
- Build production systems that deploy research projects into our live trading environment
- Rigorously ensure data quality through automated testing and monitoring
- Develop data APIs and services that seamlessly integrate research and trading systems
- Pioneer reusable software components and frameworks that accelerate quantitative research
What you need
- 2+ years of software engineering experience, preferably in a fast‑paced, data‑intensive environment
- Highly proficient in Python and SQL.
- Excellent written and verbal communication skills
- Strong software design principles and experience with clean, maintainable code.
- Intellectual curiosity and the humility to question assumptions and learn from failure
- Proactive ownership mindset — you identify opportunities and drive them to completion
We’d love it if you had experience with
- Distributed systems, microservices, or event‑driven architecture
- DevOps practices and infrastructure automation (CI/CD, containerization, monitoring)
- Cluster compute (Spark, Dask, etc.) and orchestration (Airflow, Dagster, Prefect)
- Quantitative trading and/or time‑series, market, or alternative data
- LLMs, machine learning, or NLP data applications
Contact Details:
Green Lane Talent Management Recruitment Team
