Sr. Quantitative Developer/Analyst recruitment
The ideal candidate should have the following characteristics:
World-class software development, analytic and quantitative skills as demonstrated by prior work experience in the area of asset management and/or financial services. Evidence of exceptional problem solving ability and strong creativity are required as well.
Significant training in quantitative and analytic methods. Candidates with advanced degrees from a top institution in a field such as economics, finance, statistics, or computer science are strongly preferred. Strong programming skills are critical for success in quantitative asset management and a background in econometrics is helpful.
Creativity, enthusiasm, collegiality and the ability to excel in a self-starting environment.
Outstanding verbal and written communication skills.
Responsibilities:
Design effective quantitative model and portfolio attribution systems.
Critically evaluate model and signal construction techniques.
Write code in order to build these attribution systems.
Clear verbal, graphical, and written presentation of model performance to the rest of the research team and to senior management
Qualifications:
Graduate degree with outstanding academic record in economics, finance, statistics, computer science, or a similar discipline required.
Must have Financial services/asset management industry experience.
Prior/current software development experience.
Experience with programming languages and database software.
Some of the programming languages the group uses are: Python, Matlab, R, C++/C#
Proficiency in written and spoken English.