Junior Python Quant

Job Title: Quantitative Python Developer
Location: City of London
Client:Multi-Strategy Investment Manager
Package: £200,000 OTE

About 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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