About This Role
What team will you be on?
Securities Lending generate 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 of using quantitative techniques and sophisticated models to improve performance of its Securities Lending business and is a global leader in this industry.
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 e-trading platform design, includes data enrichment, quantitative research, trading algorithm development and platform development. Success in this role will require strong analytical and quantitative skills, evidenced by an advanced degree and significant experience in quantitative research. In addition, the candidate should possess the ability to collaborate effectively with a global team of traders, researchers and technologists, both within the Lending team and across the wider BlackRock community, and should possess strong communication skills.
Responsibilities
- Develop trading signals to improve trading strategies and build metrics to evaluate trading performance
- Conduct data enrichment projects to explore alternative datasets and contribute new insights to alpha and investment research
- Improve the current suite of securities lending models, create proprietary models and maintain ongoing production and governance
- Calibrate algorithms in Securities Lending e-trading and automation
- Work closely with business stakeholders and technologists to improve the electronic trading system design and to deploy new models and algorithms into production
- Build close ties with traders, investors, risk managers and quant research teams across BlackRock
Skills/Knowledge
- Bachelor’s degree is required, and Master’s degree or higher in a quantitative discipline is preferred.
- Strong technical skillset with an understanding of statistical and machine learning techniques is required
- 3 years of relevant experience in Quantitative Research in finance industry preferably focus on trading
- Experience in working with large datasets is crucial
- Programming skills required (Python and SQL required)
- Strong written and verbal communication skills required
- High motivation to acquire new skills on the job
- Strong sense of teamwork, contribute to and foster a culture of teamwork and knowledge sharing
- Professional and respectful work ethic
For New York City only: The salary range for this position is $115,000 - $147,500. Additionally, employees are eligible for an annual discretionary bonus, and benefits including heath care, 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 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 and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.
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.
