• $34 billion in assets under management, we are a leading global alternative asset manager specialising in global long/short equity

• Founded in 1997 in London. 21 partners, 260 employees, 3 offices (London, New York and Hong Kong)

• Flat, non-hierarchal organization with opportunity for immediate impact for new joiners. We invest heavily in our people and nurture an environment of creativity and innovation

• Disruptive, entrepreneurial, technology-driven culture. Delivering superior investment solutions to our clients worldwide

• Broad engagement in charitable activities, we are committed to contributing to society

Marshall Wace offers an 8-week Summer Intern program in its Hong Kong office. The program includes highly personalised mentoring, weekly lunch seminars with senior managers/key staff, and social events.

For 2018 Marshall Wace Summer Intern Program, we have roles available within two areas:

☑ Investment Analyst - up to 3 interns will be working within the fundamental equity investment teams. They will work on specific projects whilst getting broad exposure to investment selection, portfolio construction, and risk management.

Key Skills:

• Excellent academics in a challenging course of study

• Strong written and verbal communication skills

• Hunger to be in a fast-paced, entrepreneurial environment that encourages intellectual curiosity and problem-solving

• Collaborative, team-oriented personality

☑ Data Engineering – The market data and analytics group is looking to offer projects to data focused interns. The role requires interns who are both analytical and technical as they will be responsible for the end-to-end delivery of projects that will include collection, analysis and visualisation of data. These projects will offer the opportunity to work with investment teams, and to deliver insights that can be used to drive the decision making process.

Key Skills:

• Previous exposure to statistical programming languages (e.g., R, Python, Matlab, other)

• Familiarity with data manipulation languages such as SQL

• Analytical and problem-solving skills. Must be a data-driven problem solver

• Familiarity with data visualisation tools (e.g., ggplot, d3.js, Tableau)

• Familiarity with web technologies: HTML5, SOAP, REST etc.

• Computer science background preferred (data structures and algorithms)

Students of all levels and areas of study are encouraged to apply.