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Quantitative Research, Associate
About the position
About this role BlackRock is one of the world’s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary, and individual investors around the world. BlackRock’s mission is to create a better financial future for our clients. We have a responsibility to be the voice of the investor, and we represent each client fairly and equally. Constant communication with a diverse team of partners strengthens us and delivers better results for our clients. Continuous innovation helps us bring the best of BlackRock to our clients. BlackRock offers a range of solutions — from rigorous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world’s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares® ETFs. Systematic Active Equity (SAE) is the quantitative equity group within BlackRock’s Systematic investment group. We invest our client assets using a systematic investment approach. SAE is a pioneer and thought leader in the industry and has consistently achieved client investment goals across global equity markets for over 30 years. We believe research and innovation are critical to continuing our success and believe in a multi-disciplinary approach that intersects traditional finance and economics with data and computer science. We are seeking a Systems Researcher who will primarily focus on computer science, data management, mathematical models, and computer simulations. The main skills for this role are outstanding execution of algorithmic development and software engineering. The Systems Researcher will be part of our investment and quantitative research teams. We have: \$200bn + billion USD under management. A team of world-class quantitative finance researchers and portfolio managers. Through BlackRock, access to some of the best investors and thought leaders, as well as to leading experts in statistics, machine learning, and optimization. A 40-year plus track record of performance and innovation. You have: The desire to work in a team environment with computer scientists, data scientists, and quantitative investors of many different backgrounds. A passion for algorithmic development and implementation, and a keen attention to detail. A fascination for some aspects of computer science: distributed computing, cryptography, and machine learning. Working knowledge of serverless architecture, ideally having developed or contributed to projects in that space. A Bachelors, Masters, or Ph.D. in computer science with 2+ years of applied experience. A proven track record of delivering awesome software. Excellent knowledge of Python / Pandas, as well as Java or C/C++. Well-rounded proficiency with Linux and UNIX systems. Experience in distributed computing and the use of GPUs For San Francisco, CA Only the salary range for this position is USD\$132,500.00 - USD\$162,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance. Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement. BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com. All requests are treated in line with our privacy policy. We recruit, hire, train, promote, pay, and administer all personnel actions without regard to race, color, religion, sex (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), sex stereotyping (including assumptions about a person’s appearance or behavior, gender roles, gender expression, or gender identity), gender, gender identity, gender expression, national origin, age, mental or physical disability, ancestry, medical condition, marital status, military or veteran status, citizenship status, sexual orientation, genetic information, or any other status protected by applicable law. We interpret these protected statuses broadly to include both the actual status and also any perceptions and assumptions made regarding these statuses.BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law. BlackRock's purpose is to help more and more people experience financial well-being. As a global investment manager and a leading provider of financial technology, our clients—from grandparents, doctors, and teachers to large institutions—turn to us for the solutions they need when planning for their most important goals. People join our firm from around the world to gain real-world experience while making an impact. Discover how you can have a career at BlackRock that's exciting, rewarding and full of possibilities.
Requirements
- The desire to work in a team environment with computer scientists, data scientists, and quantitative investors of many different backgrounds.
- A passion for algorithmic development and implementation, and a keen attention to detail.
- A fascination for some aspects of computer science: distributed computing, cryptography, and machine learning.
- Working knowledge of serverless architecture, ideally having developed or contributed to projects in that space.
- A Bachelors, Masters, or Ph.D. in computer science with 2+ years of applied experience.
- A proven track record of delivering awesome software.
- Excellent knowledge of Python / Pandas, as well as Java or C/C++.
- Well-rounded proficiency with Linux and UNIX systems.
- Experience in distributed computing and the use of GPUs
Benefits
- employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits.
- a strong retirement plan
- tuition reimbursement
- comprehensive healthcare
- support for working parents
- Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about
