Quantitative Developer, Systematic Trading

Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns.

A small, collaborative, entrepreneurial and highly pedigreed systematic investment team is seeking an experienced developer to join in building critical trading infrastructure. This opportunity provides a dynamic and fast-paced environment with excellent opportunities for career growth.

Location

Flexible in the US with a strong preference for Palm Beach, FL

Principal Responsibilities

• Partner closely with Quant Researchers to implement data pipeline using High Performance Computing technologies.
• Engage in development of order execution stack.
• Assist in designing and maintaining automation tools for the systematic trading infrastructure.
• Perform data analysis and generate automated reports in assisting systematic strategy design.
• Stay current on state-of-the-art technologies and tools, computing environments, and academic research in areas of machine learning and finance.
• Collaborate with the PM and the trading group in an open, collaborative environment, engaging with the investment process.

Preferred Technical Skills

• Advanced degree in Computer Science, Engineering, Applied Mathematics, Statistics or related STEM field. Bachelor degree with relevant years of experience considered.
• Excellent in Python, specifically knowledgeable in Pandas and Numpy, scientific computing library stack. Proficiency in C++ definitely a plus.
• Working knowledge of git, linux command line tools, and associated devops automation.
• Knowledge of HPC, computational grid tech-stack a plus: distributed file systems, parallel processing frameworks.
• Demonstrate excellent communication, analytical and quantitative skills.

Preferred Experience

• 3-6 years of work experience.
• Open to candidates coming from both tech and the finance industry.
• Quick learner with deep thinking abilities and openness to doing research in the future.
• Experience transforming and visualizing data, attention to detail and nose for data-scrutiny.

Target Start Date

• As soon as possible