About this roleSystematic 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 benefitsTo 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 modelBlackRock'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 candidatesAt 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
guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
