About this role
Your team
Systematic Active Equity (SAE) is the quantitative equity group within BlackRock’s Systematic investment group. We invest client assets using a systematic investment approach and have pursued client investment goals across global equity markets for more than 30 years. Research and innovation are central to our approach, bringing together finance and economics with data and computer science.
The team manages more than $200 billion in assets and brings together quantitative finance researchers and portfolio managers, with access across BlackRock to investors and specialists in statistics, machine learning, and optimization.
Your role and impactAs a Systems Researcher, you will join our investment and quantitative research teams, focusing on computer science, data management, mathematical models, and computer simulations. You will apply algorithmic development and software engineering capabilities to help translate quantitative research and investment ideas into robust technology solutions.
This role offers the opportunity to work across disciplines, collaborating with computer scientists, data scientists, quantitative researchers, and investors on complex problems that support systematic investing.
Your responsibilitiesIn every role at BlackRock, you'll be expected to apply sound judgement and critical thinking to solve complex problems, adapt as the business evolves, and combine the curiosity to explore new approaches and technologies with the rigor to challenge the results. The scope of this role also includes the following responsibilities:
- Develop and implement algorithms and software that support systematic equity investment and quantitative research.
- Build and maintain data-management and computational solutions used by investment and quantitative research teams.
- Design and evaluate mathematical models and computer simulations to support research and investment applications.
- Collaborate with computer scientists, data scientists, quantitative researchers, and investors to translate research ideas into robust software solutions.
- Contribute to distributed-computing and high-performance computing solutions, with a focus on reliability, scalability, and research effectiveness.
Your experience- 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.
Guidance on AI use for candidates
At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
