Junior Python Quant - Hays Specialist Recruitment Limited : Job Details

Job Title: Quantitative Python DeveloperLocation: City of LondonClient:Multi-Strategy Investment ManagerPackage: £200,000 OTEAbout the Client:Our client is a prestigious multi-strategy investment manager committed to pushing the boundaries of quantitative finance. With a focus on innovation and excellence, they are dedicated to delivering superior results for their clients. They offer a dynamic and collaborative work environment where talented professionals can thrive and make a significant impact.Position Overview:Our client is seeking a skilled Quantitative Python Developer to join their team. The ideal candidate will have 3 to 5 years of experience as a Junior Quantitative Developer, with a strong foundation in Python programming within the quantitative finance domain. Candidates should have a proven track record of working on quant systems and possess a deep understanding of quantitative methodologies.Responsibilities:- Collaborate with quantitative researchers and traders to develop and implement advanced trading strategies and models.- Utilise Python to build and maintain robust and efficient quant systems, including data processing pipelines, risk management tools, and algorithmic trading platforms.- Conduct quantitative analysis and research to support the development and enhancement of trading algorithms.- Optimise and streamline quantitative processes to improve efficiency and accuracy.- Work closely with cross-functional teams to integrate quantitative models into trading systems.Requirements:- Bachelor's, Master's, or PhD degree in Mathematics, Computer Science, Physics, Engineering, or a related field from a Russel Group university.- 3 to 5 years of experience as a Junior Quantitative Developer in the financial industry.- Proficiency in Python programming language with a focus on quantitative finance applications.- Strong understanding of mathematical and statistical concepts relevant to quantitative finance, such as stochastic calculus, probability theory, and time series analysis.- Experience working on quant systems and familiarity with quantitative libraries and frameworks.- Excellent problem-solving skills and attention to detail.- Effective communication skills and ability to collaborate in a team environment.Preferred Qualifications:- Knowledge of other programming languages such as Java, C++, or R.- Familiarity with financial markets, trading instruments, and risk management principles.- Experience with data analysis tools and techniques, such as pandas, NumPy, or SciPy.- Previous exposure to machine learning and AI techniques in a financial context.Benefits:- Competitive salary and performance-based bonuses.- Comprehensive health, dental, and vision insurance plans.- Generous holiday and leave policies.- Retirement savings plan with employer contributions.- Opportunities for professional development and further education.

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