Accessibility
Barclay Simpson has built up a solid reputation for quant job recruitment. We take the time to get to know employers, which is what makes us a leading recruiter in the quant analyst and strategist job market.
We find high-quality quantitative analyst and strategist jobs in the banking, insurance, asset management and professional service sectors. We recruit for jobs in London and the UK, Europe and the Middle East.
We also cover the full spectrum of quant analyst, short for quantitative analyst, specialisms, including derivative pricing, algorithmic trading and quant investment management. We particularly welcome professionals with AI and machine-learning experience.
With their deep understanding of the quant job market, our recruitment analysts will make your mathematical, statistical and programming skills shine when we recommend you for our quant analyst jobs.
Collaboration is a strong suit in the quantitative analyst armoury, but we also expect quant analyst job candidates to evidence their strategic acumen and unshakeable work focus.
Get in touch when you’re ready to make your next quant analyst job move.
Quant analyst and strategist jobs are known for their long-hours culture. The average working week varies 50–70 hours, and can be longer, especially in the run-up to deadlines or during peak periods. Quant analyst jobs may also involve weekend work.
Because they involve more advanced maths and a focus on financial modelling and risk management, quant analyst and strategists jobs generally offer higher earning potential than data science. Data scientists can narrow that pay gap with AI and machine-learning experience. Both fields offer competitive salaries and good career progression.
Python’s extensive and versatile libraries make it a popular choice for quant analysts in the financial sector. In quant analyst jobs, Python is used for tasks such as prototyping models and data analysis. Quant analysts can produce code quickly with Python, making it highly suitable for today’s agile work environments.
Both C and C++ are commonly used in quant analyst jobs. With its speed and efficiency advantages, C++ figures prominently in high-frequency trading systems and large-scale data processing. And it’s important to remember that many financial legacy systems were originally developed in C++, and quant analyst jobs may involve system enhancements and maintenance work.
There is a known gender gap in the quant analyst job market. Women currently represent only 20–26% of the quant analyst profession. To an extent, this reflects the lack of female presence in the financial services sector as a whole.