Quantitative Investment Researcher - BlackRock Investment Institute, Associate

BlackRock • Boston, NY

1d • $120,000 - $162,000 • Hybrid

About The Position

About BlackRock: 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. We offer a wide range of investment products and services, including mutual funds, exchange-traded funds (ETFs), and alternative investments, catering to various investor needs and risk appetites. BlackRock has embraced technology in its operations and investment strategies, utilizing advanced analytics, machine learning, and data-driven insights to enhance decision-making processes and optimize portfolio performance. The BlackRock investment institute (BII) leverages BlackRock's expertise and produces proprietary research to provide insights on the global economy, markets, geopolitics, and long-term asset allocation - all to help clients and portfolio managers navigate financial markets. We systematically leverage BlackRock’s expertise in markets, asset classes, and client segments to help our portfolio managers deliver positive investment results for clients. Our focus is to keep our investment professionals connected, informed, and on the cutting edge of investment thinking. BSI Intel (BlackRock Sustainable Investing Intelligence) is BlackRock’s systematic proprietary company level sustainable scoring framework for investment purposes powering $120bn AUM and sits within SIRA (Sustainable Investment Research and Analytics) within BII. The candidate would be part of the BSI Intel research team contributing active systematic research, delivering investment performance of the BSI Intel strategies and helping to grow the business.

Requirements

• 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.

Nice To Haves

• PhD or equivalent (Post-doc) is a plus

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

Benefits

• employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits
• strong retirement plan
• tuition reimbursement
• comprehensive healthcare
• support for working parents
• Flexible Time Off (FTO)

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees