Software Engineer, Data Scientist, Machine Learning​/ ML Engineer

Join a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities and crypto.

The ideal candidate will bring a blend of strong technical skills and a proactive mindset:

• Expert Programmer: You must be a confident and proficient programmer with expertise in at least one statically typed language (e.g., Java, C++, Go). While the firm utilizes Go extensively, prior Go experience isn't required – just a readiness to integrate with an existing Go-based software stack.
• Data Analysis & Statistical Acumen: You're comfortable with data analysis and statistical methods
  , crucial for ensuring pristine data quality. Experience with regression analysis (for example, to determine market withholding tax rates) or a foundational understanding of statistics/machine learning is highly advantageous.
• Distributed Systems Enthusiast: Proven experience in building and maintaining distributed systems is essential for this role.
• Database Management: Hands-on experience with the use and administration of relational databases will be a significant asset.
• Financial Knowledge (A Plus): While not mandatory, any prior knowledge of finance would be beneficial.

This is an exceptional opportunity for an autonomous and skilled engineer to make a significant impact on a core platform within a leading financial firm.

Contact Ciara Clarke at Harrington Starr for a confidential discussion on this role.