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    Research Engineers - London, United Kingdom - Algo Capital Group

    Algo Capital Group
    Algo Capital Group London, United Kingdom

    5 days ago

    Default job background
    Description
    Quantitative Research Engineer - Market Microstructure

    Our client is a leading Hedge Fund headquartered in London and is seeking a Quantitative Research Engineer to join their equities trading desk.

    The firms team integrates innovative technology and trading strategies, while utilizing a sophisticated research platform and development environment to realise consistent trading alphas.

    An extremely talented and motivated individual is sought after, in order to collaborate with a team that is competitive in the global financial markets.

    As a Quantitative Research Engineer, you will play a crucial role in analyzing, understanding, and optimizing the intricacies of market dynamics, order flow, and execution strategies.

    Leveraging your expertise in market microstructure, you will collaborate closely with traders, quantitative analysts, and software engineers to design and implement solutions that enhance trading performance and efficiency.

    Conduct in-depth analysis of equity market microstructure, including order book dynamics, liquidity profiles, and execution venues.
    Develop quantitative models and algorithms to optimize trading strategies, minimize market impact, and improve execution quality.

    Utilize advanced statistical techniques and data analysis methodologies to extract insights from large datasets of market and trading data.

    Collaborate closely with quantitative analysts, traders, and compliance professionals to assess market risk and develop proactive strategies to mitigate market toxicity.

    Design and implement low-latency trading systems and algorithms, with a focus on latency optimization and performance enhancement.
    Stay abreast of industry trends, regulatory developments, and technological advancements in market microstructure and algorithmic trading.

    Proven experience working in a quantitative/engineering role within the financial industry, with a focus on market microstructure or market toxicity.

    Proficiency in programming languages such as C++, Python or MATLAB along with experience in data analysis libraries (e.g., Familiarity with low-latency trading systems, high-performance computing, and algorithmic trading strategies.

    Strong academic background in a quantitative field such as Mathematics, Statistics, Computer Science, Physics, or Engineering subject from a leading university.

    Excellent opportunity with a high-performing trading team rewarding package on offer with high growth career progression.
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