Blackrock

Overview

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.

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.

Requirements & Eligibility

• 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.
• 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.

Key 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.
• Work closely with traders, technologists and other stakeholders to translate research and trading needs into scalable production solutions.