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New York, New York, United States
Hybrid
About this role
Securities lending generates alpha for clients across scientific, fundamental and index products. We partner with portfolio managers to optimize returns through a variety of trade types. BlackRock is a pioneer in using quantitative techniques and sophisticated models to improve performance of its Securities Lending business.
Why is your role important?
We are seeking a quantitative researcher to join the Securities Lending electronic trading team in the New York office. Our team is responsible for the design and development of electronic trading workflows, spanning data and analytics, quantitative research, trading algorithms, automation and platform capabilities.
Success in this role will require strong analytical and quantitative skills and the ability to translate research into scalable trading solutions. The candidate will work across research, algorithm development and production implementation, while collaborating with a global team of traders, researchers and technologists within the Lending team and across the wider BlackRock community.
Responsibilities
Conduct quantitative research and analytics, including data analysis and post-trade evaluation, to generate insights and improve trading performance.
Develop and enhance trading signals, models and algorithms supporting Securities Lending electronic trading and automation.
Own production models and algorithms, including ongoing monitoring, review, evaluation and governance.
Contribute to electronic trading platform and workflow design, including automated order raising and trading capabilities.
Apply AI and machine learning techniques to enhance quantitative research, trading analytics and automation.
Contribute to the design of AI-enabled research and trading workflows, integrating quantitative capabilities with evolving AI technologies.
Work closely with traders, technologists and other stakeholders to translate research and trading needs into scalable production solutions.
Build close ties with investors, risk managers and quantitative research teams across BlackRock.
Skills / Knowledge
Bachelor’s degree required; Master’s degree or higher in a quantitative discipline preferred.
Strong quantitative and analytical skills, including statistical, machine learning and optimization techniques.
3+ years of relevant experience in quantitative research, algorithm development, data science or a related quantitative field; financial markets experience is preferred but not required.
Demonstrated ability to translate quantitative research into models, algorithms and production solutions.
Strong programming and data skills; Python and SQL required.
Experience working with large and complex datasets and developing robust analytical solutions.
Understanding of software development practices and the production model lifecycle.
Experience applying AI technologies to quantitative research, analytics, software development or workflow automation is preferred.
Ability to independently solve complex problems while working effectively with researchers, traders and technologists.
Strong written and verbal communication skills.
High motivation to learn financial markets, securities lending and emerging technologies.
Strong sense of teamwork, knowledge sharing and professional work ethic.
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 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.
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.
To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.
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.