Research/Trading Developer – Equity Investment Team

A dynamic, collaborative, investment team is looking to hire a Research/Trading Developer. The ideal candidate will have a strong understanding of financial concepts, as well as advanced knowledge of Python, and practical experience with machine learning tools. To be successful in this role, you should have a strong mathematical and statistical background, excellent problem-solving skills, and a passion for staying up-to-date with the latest technologies and techniques in the field. Any experience on maintaining and supporting Production Trading Tools would be an advantage.

Principal Responsibilities

Implement and develop processes and scripts to be leveraged in the investment process.
Ensure the reliability, scalability, and performance of Trading/Research systems.
Collaborate with the team to identify opportunities for process improvement, automation and innovation.

Preferred Technical Skillset

Bachelor, Master’s, or PhD degree in Computer Science, Engineering, Applied Mathematics, Statistics or related STEM field
2-5+ years of professional working experience in a trading/technology environment (banks, hedge funds, asset management, technology firms, etc.)
Advanced knowledge of Python, including experience with machine learning libraries such as pandas.
Familiarity with Q and KDB databases, as well as Airflow and automation frameworks.
Practical experience with machine learning techniques and tools, such as regression analysis, classification, clustering, and neural networks.
Demonstrate excellent communication, analytical and quantitative skills.
Strong oral and written communication.

Preferred Experience

Strong understanding of financial concepts.
Strong problem-solving skills and attention to detail
Experience with trading and middle office platforms, internal tech and market data warehouses is a plus.

Research/Trading Developer - Equity Investment Team