Quantitative Investment Researcher - BlackRock Investment Institute, Associate
BlackRock is one of the world's largest and most prominent investment management firms, managing trillions of dollars in assets for institutions, governments, and individuals worldwide. They are seeking a Quantitative Investment Researcher to develop innovative investment ideas, construct and maintain quantitative investment strategies, and collaborate across teams to deliver sustainable investment solutions.
Responsibilities
- Develop innovative investment ideas using quantitative analysis to capture long-run rewarded sustainable insights. This may include a review of existing data, testing of the usability of new datasets, or leveraging AI, data science or ML methodologies, and back-testing of these strategies and interpretation/implementation of output results to improve our research process
- Construct and maintain quantitative investment strategies including portfolio rebalancing oversight
- Deliver high quality signal research with a focus on long-only global equities and the usage of novel datasets
- Collaborate with research colleagues across the firm on investment ideas, with portfolio managers on efficient execution of ideas and with investment strategists on innovative investment products
- Collaborate with wider BlackRock platforms to deliver innovative systematic sustainable solutions
Skills
- Relevant experience (in academia and/or industry) or internships a plus, but not necessary
- Proficiency in at least one programming language such as Python, Matlab or similar
- SQL and Unix experience a plus but not necessary
- Detailed knowledge of data science and statistical techniques, portfolio optimization, financial economics and risk models
- Attention to detail, curious and self-motivated
- Highly organized and ability to work towards tight deadlines
- Good communication skills: ability to communicate complex ideas clearly to colleagues and clients and ability to present at quantitative conferences
- Collaborative team player, willing to engage with other colleagues, share ideas and give/receive constructive feedback
- The ideal candidate would have a degree in a quantitative field, such as mathematics, econometrics, computer science, or 'hard sciences' and a specialization in economics/finance either through coursework/internship or a graduate degree
- PhD or equivalent (Post-doc) is a plus
Benefits
- An annual discretionary bonus
- Healthcare
- Leave benefits
- Retirement benefits
- A strong retirement plan
- Tuition reimbursement
- Comprehensive healthcare
- Support for working parents
- Flexible Time Off (FTO)
Company Overview
Company H1B Sponsorship