Man Group is a global active investment management firm, which runs $114.1bn* of client capital in liquid and private markets, managed by investment specialists based around the world. Headquartered in London, the firm has 15 international offices and operates across multiple jurisdictions. Our business has five specialist investment engines, which represent the range of our capabilities: Man AHL, Man Numeric, Man GLG, Man FRM and Man GPM.
These engines house numerous investment teams, working collaboratively within the framework of Man Group, with a high degree of investment autonomy. Each team benefits from the strength and resources of the firmâ€™s single operating platform, enabling their primary focus to be seeking to generate alpha for clients. The teams invest across a diverse range of strategies and asset classes with highly specialized approaches, with long only and alternative strategies run on a discretionary and quantitative basis in single and multi-manager formats. Our clients are at the heart of everything we do and we engage in close dialogue with our investors as strategic partners, to understand their particular needs and constraints. Man Groupâ€™s investment teams are empowered and supported by our institutional infrastructure and technology, which aims to facilitate the efficient exposure to markets and effective collaboration across the organization.
Through the Man Charitable Trust and sponsorship of the Man Booker Prizes, Man Group is committed to promoting literacy and numeracy on a global scale, and to supporting charitable causes more broadly.
Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com.
*As at 30 September 2018. All investment management and advisory services are offered through the investment â€œenginesâ€ of Man AHL, Man Numeric, Man GLG, Man FRM and Man Global Private Markets (GPM).
About Man Numeric
Man Numeric employs systematic security-selection processes that are underpinned by a bottom-up, fundamental approach, offering both long only and alternative strategies. The teamâ€™s highly experienced professionals operate collaboratively, distilling their analytical and investment expertise into systematic processes which are applied across regions, styles, and capitalizations.
Man Numeric has a strong history in public equities, focusing on bottom-up stock selection processes based on fundamental, causal market relationships and reinforced by continuous research. Its approach seeks to capitalize on temporary market inefficiencies, with models that look to identify mispricing opportunities. Furthermore, the engine seeks to innovate continually and research new areas and opportunities. Man Numeric has significant capabilities in systematic responsible investing, with around half of its assets managed employing some form of sustainability screen.
Founded in 1989 and becoming part of Man Group in 2014, Man Numericâ€™s funds under management were $34.7bn at 30 September 2018. Further information can be found at www.man.com/numeric.
Man Investments USA Holdings Inc. is seeking a highly motivated and experienced Quantitative Trading Researcher to join our team in Boston, MA.
Develop and maintain proprietary Trade Cost Analytics Platform
Rigorously ensure data is accurate and representative of all trading activity conducted by the firm
Work closely with the trading team to research and develop trading algorithms, improve trading style and capture market dynamics
Develop and analyze broker performance metrics, market impact costs trends of various strategies, and execution venue performance
Research and improve Trade Cost Model to account for latest market structure or regulatory changes
Work with brokers identifying areas for improvement in execution style
Work with Portfolio Managers to understand the characteristics of various strategies and improve / adopt trading style accordingly
Act as subject matter expert in all areas of transaction cost analysis. Work with Portfolio Managers, internal client service and marketing teams to ensure existing and prospective client inquiries are properly addressed and supported by execution data
Master's degree in Operations Research, Mathematics, Finance, or similar quantitative field, as well as two (2) experience in job offered or related
Must have two (2) years of experience with:Â Python, SQL; statistical analysis, regression, and large dataset investigation; Bloomberg data fields and pricing data; modeling and buildout; and reporting tools and infrastructure requirements
Must also have one (1) year of experience with: transaction cost data; financial market structure; algorithm development; and order placement logic
Internal Number: 5184789
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