We are looking for an organized and proficient Quant Developer to join their Model

Implementation team. The candidate will work within a team of extremely talented and collaborative

Quantitative Researchers, Engineers and Portfolio Managers. The team is comprised of technical and

hands-on builders, each wearing multiple hats, and so will the candidate.

Responsibilities

As a Quant Developer on the Model Implementation team, your key responsibilities may include but

aren’t limited to:

• Own and manage distributed real time trading system responsible for computing signals and

target positions for various strategies

• Work closely with Researchers and Portfolio Managers on the team to add new capabilities for

existing set of strategies

• Own the design and production implementation of new strategies

• Lead and drive efforts that identify bottlenecks with the existing platform and follow through

with an action plan for tackling these bottlenecks

• Add capabilities to expand the platform to new asset classes

Requirements

• BS/MS/PhD in Computer Science or equivalent

• At least 5 years of experience as Quant Developer or related position

• Strong programming background in Python and C++

• Strong problem solving and communication skills

• Ability to multi-task and have ownership mentality

• Experience with Python data science stack e.g. Pandas/Numpy/Scikit-learn

• Outstanding coding, debugging and analytical skills

• Devoted to writing automated tests