Numeric Rotational Analyst

About Man Numeric 

Man Numeric is a fundamentally-driven systematic investment manager. It takes a bottom-up approach to research and security selection and distils its findings into systematic processes that are applied across regions, styles and capitalisations. It offers long-only and alternative investment strategies that invest in both equity and credit markets.

The firm’s research-driven culture, which is underpinned by advanced technology and data science techniques, focuses on innovation and enhancement across alpha generation, risk management, portfolio construction and implementation.

Man Numeric has capabilities in systematic responsible investing, offering dedicated quantitative strategies and incorporating proprietary ESG and Climate alpha signals across a diverse range of strategies.

Founded in 1989 and becoming part of Man Group in 2014, Man Numeric’s assets under management were $45.4 billion at 31 March 2024. Further information can be found at www.man.com/numeric.

Numeric Graduate Rotational Program

Join Numeric’s Investment Management Graduate Rotational Program with an opportunity to work alongside Numeric’s Quant Trading, Alpha Technology, Quantitative Research and Portfolio Management teams.  Following the 4 rotations, the Rotational Analyst will have an opportunity to join the Numeric Research, Alternatives or Portfolio Management team full-time.

As a Quantitative Research Rotational Analyst, you will conduct research and develop strategies which will improve our trading of financial markets in equities and across the business in general. You will develop and improve quantitative investment strategies in financial markets within the Strategic Alpha Research team. You will work closely with other team members to create new and support existing strategies by identifying new investment ideas or innovative data sources. You will conduct research on various implementation aspects of investment strategies such as trading cost models, risk models, optimization, and portfolio construction.

The Portfolio Management Rotational Analyst role spans a broad spectrum of research, investment, and technical tasks. The role involves both validating the inputs to our models as well as the output from the quantitative signals used to make buy/sell decisions. You will monitor portfolio risk and country/sector exposures, analyze portfolio returns, and conduct analysis for client communications. You will analyze the output of our portfolio construction process to ensure the integrity of our investment philosophy. Assist research and portfolio management teams with enhancing existing signals and creating new signals.      

With Quant Trading & Research, you will:

• Assist in development of our trading platform, infrastructure and technology
• Use qualitative and quantitative analysis to improve performance of our systematic strategies
• Monitor live trading and respond to changing market conditions when necessary
• Determine appropriateness of execution venues for various trades
• Assist in various proprietary algorithm enhancements and algo experimentation
• Analyse high frequency tick data in cash equities from multiple exchanges, including darkpools and Alternative Trading Systems (ATS).
• Assist in building execution alpha signals using price, volume and alternative data.
• Contribute to improvements across portfolio construction, risk management and trading
• Assist in development of our proprietary cash equities execution algorithm, trading platform, infrastructure and technology
• Carry out post trade analysis and build monitoring tools and reports to continuously improve our execution capabilities

As a Quantitative Developer Rotational Analyst in Alpha Tech, you will be working directly with the research and portfolio management teams to implement new ideas and signals which explain and outperform the market. This includes responsibility for the continued success of Raptor, our in-house Quant Platform, and building the tools, frameworks, libraries and applications which power our Quantitative Research and Systematic Trading. Your challenges will be varied and might involve implementing signals, analyzing and onboarding new datasets, cluster-computing solutions, numerical algorithms, and developing portfolio optimization toolkits.

Key competencies

• Strong academic record and undergraduate coursework in finance, mathematics, statistics, computer science, economics, or engineering
• Strong programming and statistical analysis skills (e.g., Python, R) and the ability to communicate complex ideas clearly
• Demonstrated problem solving ability
• Self-organized with the ability to effectively manage time across multiple projects and with contending business demands and priorities
• Focused on delivering value to the business with steadfast efforts to improve process