Description
We are seeking a quantitative researcher to join the Securities Lending electronic trading team in the New York office.
The team is responsible for designing and developing electronic trading workflows, spanning data and analytics, quantitative research, trading algorithms, automation, and platform capabilities.
Responsibilities:
- Conduct quantitative research and analytics 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.
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.
- Demonstrated ability to translate quantitative research into models, algorithms, and production solutions.
- Strong programming and data skills; Python and SQL required.
Benefits:
- Salary range: USD$132,500.00 - USD$162,000.00
- Annual discretionary bonus
- Healthcare, leave benefits, and retirement benefits
- Flexible Time Off (FTO)
- Tuition reimbursement