Quantitative Researcher, Global Allocation - Vice President
BlackrockAbout 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.
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: www.linkedin.com/company/blackrock
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.
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.