Algorithmic Equity Trader
7 days ago
We're a top hedge fund seeking a skilled KDB/Python Lead Quant Developer to join our systematic equities team. As a key member of our engineering team, you will design and implement high-frequency trading platforms for global equity strategies. Your expertise in KDB/Q and Python programming will be essential in developing efficient backtesting tools for both simulation and live trading.
Your Role
You will collaborate with senior PMs and teams to implement an efficient backtester tool. You'll also ensure reliability, scalability, and timely execution of trading systems. Additionally, you'll mentor junior developers and promote best practices in the industry.
Requirements
To succeed in this role, you should have 3-5+ years' experience in developing algorithmic trading systems, preferably in systematic equity trading markets. A good understanding of modern data science tools stacks, such as Jupyter, pandas, numpy, sklearn, with machine learning experience is also required. Additionally, a Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related STEM field from a top-tier university is necessary.
What We Offer
This position offers significant salary, bonus, and benefits. You will work in a dynamic, fast-paced environment with excellent career growth opportunities. Our collaborative culture and energetic engineering atmosphere make it an ideal place to build and share knowledge with the smartest engineers in the industry.
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