Junior Quantitative Analyst

Primary Responsibilities:

Development and support of quantitative stock selection models.

• Systematic discovery of alpha signals using traditional and alternative datasets.

• Incorporate machine learning techniques into systematic strategy research and development.

• Help ensure that quantitative models, research tools and risk controls are adequate to support new product initiatives.

• Collaborate with other team members and other groups in order to drive productivity.

• Support technological infrastructure and analytical research function.

• Performs related duties as assigned.

Preferred Qualifications:

Minimum of 2 years in a quantitative discipline (e.g., Financial Engineering, Econometrics, Computer Science, Engineering, Math, Physics) is preferred.

• High-level proficiency in Python, R or similar programming languages.

• Demonstrated ability to learn and work with cutting-edge statistical methods and computational techniques.

• In-depth working knowledge of quantitative systems development, tools and engineering techniques including back testing, optimization, attribution, risk control and quality control.

• Basic knowledge of industry standard tools and databases such as Factset, Bloomberg, Worldscope, Compustat, IBES, Barra, etc.

• Ability to take ownership of projects, with a strong focus on quality and accuracy.

• A passion for investments combined with a strong work ethic, integrity, and a commitment to individual development.