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    Quantitative Developer - London, United Kingdom - Understanding Recruitment

    Understanding Recruitment
    Understanding Recruitment London, United Kingdom

    1 week ago

    Understanding Recruitment background
    Accounting / Finance
    Description

    Quant Analyst / Quant Developer

    Salary Range: £100k - £150k + Bonus

    Company Overview:

    Our client is a leading financial services firm specialising in algorithmic trading strategies. They leverage cutting-edge technology and quantitative analysis to drive innovation and deliver superior returns to their clients. As they continue to expand our trading operations, they are seeking a talented Quantitative Analyst / Quant Developer to join their dynamic team and contribute to the development and optimisation of their algorithmic trading models.

    Position Overview:

    As a Quantitative Analyst / Developer specialising in Algorithmic Trading, you will play a key role in researching, developing, and implementing proprietary trading strategies. You will work closely with our team of quants, traders, and developers to analyze market data, build quantitative models, and execute trades across various asset classes. The ideal candidate will have a strong background in mathematics, statistics, and programming, along with a passion for financial

    markets and algorithmic trading.

    Key Responsibilities:

    • Research and analyze market data to identify patterns, trends, and opportunities for alpha generation.
    • Develop and implement algorithmic trading strategies across equities, futures, options, and other asset classes.
    • Conduct backtesting and simulation analysis to evaluate the performance of trading models and optimize parameters.
    • Collaborate with traders and developers to design and implement trading algorithms, including execution logic and risk management controls.
    • Monitor and analyze trading performance in real-time, making adjustments to strategies as needed to adapt to changing market conditions.
    • Stay abreast of industry developments and emerging trends in algorithmic trading, quantitative finance, and machine learning.
    • Perform statistical analysis and quantitative research to enhance trading strategies and improve risk-adjusted returns.
    • Work closely with other members of the quant team to share ideas, collaborate on projects, and contribute to the overall success of the firm.
    • Participate in meetings and presentations with internal stakeholders to communicate research findings, trading strategies, and performance metrics.
    • Adhere to compliance and regulatory requirements, ensuring that all trading activities are conducted in accordance with applicable laws and regulations.

    Qualifications:

    • Master's or Ph.D. degree in quantitative finance, mathematics, statistics, computer science, or a related field.
    • Minimum of 2-3 years of experience in quantitative analysis, algorithmic trading, or a similar role within the financial industry.
    • Experience in market making and its associated algorithms is essential
    • Strong understanding of financial markets, trading dynamics, and market microstructure.
    • Proficiency in programming languages such as Python, R, or C++, with experience in quantitative libraries and tools (e.g., NumPy, pandas, TensorFlow).
    • Experience with data analysis, statistical modeling, and machine learning techniques applied to financial data.
    • Knowledge of trading platforms, order execution systems, and electronic trading protocols.
    • Excellent analytical and problem-solving skills, with the ability to analyze complex datasets and draw actionable insights.
    • Effective communication skills, both written and verbal, with the ability to convey technical concepts to non-technical stakeholders.
    • Ability to work effectively in a fast-paced and dynamic environment, with a strong sense of urgency and attention to detail.
    • Demonstrated ability to work independently as well as part of a team, with a collaborative and proactive approach to problem-solving.
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