Lead Quantitative Developer
2 months ago
Yes, this will pay high 6-figures... Yes, this is for an "elite quant trading firm"... Yes, they use modern/cutting-edge technology... but let me explain what makes this role unique...
In short: greenfield project, existing PnL (but leaving millions on the table) so 0 risk, focusing on execution then growing a market-making business (which is high on the funds agenda), technical lead quant dev role (ability to grow the team), the wider intraday/high-frequency team is 15 people across London, Singapore, NYC and a couple of other locations.
The team focus on all quant research technology (everything to do with their high-performance algos - creating reusable strategy and alpha computation building blocks, simulation models and creating robust, efficient and performant code for the more complex algorithms) with modern C++/Python. Think low-latency, high-performance (low-level O/S, CPU, systems programming & other elements of HPC) all combined with highly performant mathematical algorithms.
You would be sat directly in the investment arm of the business, working with incredible quant researchers and traders alongside some very talented quant devs. See your work in production and the impact on the fund very quickly, you can invest and benefit from the fund and a bunch more things that I can't squeeze into this advert.
You need to work on real-time automated trading systems, understand execution/trading strategy logic, use C++ as your programming weapon of choice and choose Linux over Windows every time.
Hit apply or drop me a note to find out more ;-)
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Keywords: C++, C ++, C++14, C++17, C++20, C++23, Quant Research, Quant Development, Quant Developer, Intraday Trading, Quant Fund, Hedge Fund, Finance, Equities, Futures, FX, Modelling, Strategies, Trading Signals, Multithreading, Linux, Unix, High-Performance, Operating Systems, Real-Time, Algorithms, Algorithmic Trading, Electronic Trading, E-Trading, Systematic Trading, High-Frequency Trading, HFT, High Frequency, Startup, Scaleup, Prop Trading, Execution, Algo Trading, Quant Trading, Parallel Computing, Optimisations, Low-Latency, Algorithms, Distributed Systems, Market Data, Connectivity, Trading Engine, Systems Design, Hardware, Kernel, Sockets, Networking, TCP/UDP, Systems Programming, Low-Level, Trading.
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