Equity Quantitative Researcher - AI-Driven Trading

Versor Investments; New York (NY); On-site; USD 90,000 - 120,000; Full time

Job summary

Versor Investments is seeking an Equity Quantitative Researcher in New York to focus on developing data-driven models for systematic stock selection and portfolio decision-making. Responsibilities include researching portfolio construction, applying computational techniques, and designing automated technology stacks for trading algorithms. The ideal candidate will have a degree in Computer Science or related fields and strong programming skills in Python, C++, Java, or C#. One to three years of relevant work experience is preferred.

Qualifications

• Strong knowledge and interest in statistical modeling techniques and data science.
• Exceptional coding and software design abilities.
• Demonstrated ability to work independently with complete ownership of projects.

Responsibilities

• Research portfolio construction and optimization for large equity portfolios.
• Apply computational techniques and statistical methods to solve problems.
• Design and develop automated cloud-based technology stack for algorithms.
• Build systems for running simulations for model estimation and back-testing.

Skills

Statistical modeling techniques

Data science

Python

C++

Java

C#

Education

B.E., B.Tech., M.Tech., or M.Sc. in Computer Science, Computer Engineering, Statistics

Job description

Versor Investments is seeking an Equity Quantitative Researcher in New York to focus on developing data-driven models for systematic stock selection and portfolio decision-making. Responsibilities include researching portfolio construction, applying computational techniques, and designing automated technology stacks for trading algorithms. The ideal candidate will have a degree in Computer Science or related fields and strong programming skills in Python, C++, Java, or C#. One to three years of relevant work experience is preferred.