Location: Central London, Greater London - United Kingdom Type: Permanent
Overview
My client is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative
strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients. They have deep
expertise in trading, technology and operations and attribute their success to rigorous scientific research. As a technology
and data-driven firm, they design and build their own cutting edge systems, from high performance trading platforms to
large scale data analysis and compute farms.
Responsibilities • Collaborate with senior traders and quantitative researchers to structure and evaluate new trading opportunities • Generate PnL tracking and attribution reports based on trade ideas • Monitor and analyze portfolio performance to generate risk reports • Hedge books and allocate hedges appropriately • Execute large or complex trades which cannot be automated due to complexity or liquidity constraints
Qualifications • Recent, or soon to be graduate, with relevant course work, internship, or other applicable experience or
knowledge • Bachelor's degree in a quantitative or related field such as Mathematics, Statistics, Econometrics, Engineering,
Operations • Research, Computer Science, Physics, Economics, Finance • Strong communication skills with the ability to collaborate with teammates globally • Strong sense of urgency with the ability to work well in a fast-paced environment • Programming skills essential, with at least one major programming or scripting language, strong preference for
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