Overview
On Site
Full Time
Skills
Signal Processing
Estimating
Scalability
Build Tools
Dashboard
Workflow
Data Validation
Storage
Operational Excellence
Management
Computer Science
Mathematics
NumPy
Pandas
scikit-learn
Python
Performance Tuning
Linux
Continuous Integration
Continuous Delivery
Testing
Version Control
Analytical Skill
Linear Algebra
Statistics
Machine Learning (ML)
C
C++
Trading
Systems Architecture
Finance
Research
Collaboration
Innovation
Job Details
A top-tier systematic hedge fund is seeking an exceptional engineer to help build and maintain the infrastructure supporting its global, computer-driven trading strategies. The successful candidate will work across both live trading and research environments, contributing to critical systems for signal processing, simulation, alpha estimation, and portfolio construction.
This is a unique opportunity to be part of a highly collaborative team of researchers and technologists solving complex problems in one of the most intellectually demanding domains in finance.
Responsibilities:
- Develop and maintain key components of the systematic trading and research platform
- Improve automation, scalability, and reliability across the entire research infrastructure
- Build tools for simulation, signal blending, portfolio construction, dashboards, and research workflows
- Design robust systems for data validation, ingestion, and storage
- Ensure platform stability, monitoring, and operational excellence
- Investigate and resolve system issues, manage release cycles and code deployment
Candidate Profile:
- Bachelor's degree or higher in computer science, engineering, mathematics, or a related STEM field
- Strong Python development skills, including experience with core scientific libraries (numpy, pandas, polars, scikit-learn)
- Solid understanding of Python internals and memory/performance optimization
- Proficiency in Linux-based environments and modern development tools (CI/CD, testing frameworks, monitoring, version control)
- Strong quantitative and analytical foundation; familiarity with linear algebra, statistics, and machine learning is a plus
- Experience with C/C++ is a plus
- Exposure to trading systems architecture or quantitative finance is advantageous
- High integrity, low-ego mindset, and commitment to quality
Why Join?
- Work at the forefront of data-driven finance in a deeply technical, research-focused environment
- Collaborate with world-class researchers and engineers on high-impact, production-grade systems
- Be part of a culture that values innovation, scientific rigor, and ethical responsibility
- Competitive compensation and a clear path for growth in a meritocratic, flat-structured organisation
This is a unique opportunity to be part of a highly collaborative team of researchers and technologists solving complex problems in one of the most intellectually demanding domains in finance.
Responsibilities:
- Develop and maintain key components of the systematic trading and research platform
- Improve automation, scalability, and reliability across the entire research infrastructure
- Build tools for simulation, signal blending, portfolio construction, dashboards, and research workflows
- Design robust systems for data validation, ingestion, and storage
- Ensure platform stability, monitoring, and operational excellence
- Investigate and resolve system issues, manage release cycles and code deployment
Candidate Profile:
- Bachelor's degree or higher in computer science, engineering, mathematics, or a related STEM field
- Strong Python development skills, including experience with core scientific libraries (numpy, pandas, polars, scikit-learn)
- Solid understanding of Python internals and memory/performance optimization
- Proficiency in Linux-based environments and modern development tools (CI/CD, testing frameworks, monitoring, version control)
- Strong quantitative and analytical foundation; familiarity with linear algebra, statistics, and machine learning is a plus
- Experience with C/C++ is a plus
- Exposure to trading systems architecture or quantitative finance is advantageous
- High integrity, low-ego mindset, and commitment to quality
Why Join?
- Work at the forefront of data-driven finance in a deeply technical, research-focused environment
- Collaborate with world-class researchers and engineers on high-impact, production-grade systems
- Be part of a culture that values innovation, scientific rigor, and ethical responsibility
- Competitive compensation and a clear path for growth in a meritocratic, flat-structured organisation
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.