(3ys+) Python Engineer - Ever-Growing Systematic Trading Start-Up
Company:
My client is one of the fastest-growing scale-ups to launch within the systematic trading space.
Already recognised as one of the most profitable trading firms per capita in London right now, generating £31.6 million in revenue for 2023, with 2024 projected to outperform all previous years.
As a dynamic and progressive firm at the forefront of algorithmic trading and financial innovation. They value utilising the power of data and advanced mathematics to create trading models that consistently outperform the market, through building cutting-edge technology with sophisticated quantitative strategies to redefine the landscape of systematic trading.
Role:
They’re now looking for an enthusiastic Python engineer, who is either a specialist or deeply involved with NumPy to join a unique and prestigious engineering team, focusing on building a brand-new systematic equities product that will sit across the asset management and market-making arm.
You will be responsible for utilising NumPy to manipulate, process, and analyse large datasets to create, design and implement brand-new mathematical models to enhance the internal trading performance of the systematic equities desk.
Ideally coming from a financial firm (but will be open to strong Python/NumPy engineers coming from a start-up environment), with experience facing off to external business, quant researchers, traders, and/or engineering teams to translate complex mathematical concepts into efficient, scalable Python code.
If you feel like your skills match up to who they’re looking for, then please apply here!
Required Skills:
- Bachelor, Master's or PhD in Computer Science, Mathematics, Statistics, Engineering, or a related field.
- 3+ years of commercial experience programming in Python.
- Strong preference to find candidates who specialise in NumPy.
- Financial product knowledge is desirable but not a must have.
- Excellent problem-solving skills and attention to detail.
Please contact daniel.mclagan@stanfordblack.com for more information.
If this role isn't right for you, but you know of someone who might be interested, we have a market-leading referral scheme in place to thank anyone who refers a friend who is successfully placed! T&Cs apply.