Job Description
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
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