Quantitative Researcher, Global Allocation - Vice President

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 offers a range of solutions — from fundamental and systematic active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world’s capital markets.

Elevate your career by joining the world's largest asset manager! Thrive in an environment that cultivates positive relationships and recognizes outstanding performance! We know you want to feel valued every single day and be recognized for your contribution. At BlackRock, we strive to empower our employees and actively engage your involvement in our success.

The Global Allocation team is seeking an AI Engineer to be at the forefront of financial technology innovation and investing. The Global Allocation team, within the Global Fixed Income division, invests using both fundamental and systematic approaches, combining top-down and bottom-up insights across all asset classes. 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 an AI engineer to primarily focus on computer science and mathematical models to help us generate alpha through the build out of our AI ecosystem, investment research, and systematic implementation. Our goal is to build leading-edge AI research, algorithmic development, and systematic strategies.

Key Responsibilities:

• Collaborate with portfolio managers and analysts to research and implement comprehensive AI/ML-based solutions from start to finish.

• Design and develop methods, processes, and systems to consolidate and analyze unstructured and diverse data sources to generate actionable insights and investment recommendations.

• Develop systematic alpha strategies for single name equity selection, asset allocation, fixed income, and cryptocurrencies.

• Integrate new AI services across the platform

• Works with different datasets and run algorithms on large size data effectively and efficiently, staying up to date with all the latest cutting-edge technologies.

Requirements:

• B.S./M.S./PhD. degree in Computer Science, Engineering, or a related subject area with 4+ years of proven experience, or equivalent experience

• A passion for algorithmic development and implementation, and a keen attention to detail.

• Excellent knowledge of Python, Java or C/C++. 

• Experience building applications using LLM frameworks

• Experience with ML model training and fine-tuning.

• Experience in distributed computing and the use of GPUs.

• The desire to work in a team environment with investors of many different backgrounds.

• Experience working in Agile development teams with excellent collaboration skills.

For New York, NY Only the salary range for this position is USD$162,000.00 - USD$215,000.00 . 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 e