A leading financial firm in Chicago is seeking a skilled professional to manage and enhance high-frequency trading systems. The ideal candidate will collaborate with top quantitative teams and drive improvements across global trading operations. Strong programming skills in Python and C++ are essential, along with a solid background in STEM disciplines. This role offers the opportunity to lead engineering teams in a dynamic environment, making a significant impact on trading solutions.
Qualifications
Experience leading engineering teams in fast-paced environments.
Track record in optimizing high-frequency trading systems.
Responsibilities
Oversee development and maintenance of high-frequency trading systems.
Collaborate with quantitative teams to optimize trading solutions.
Drive improvements in trading operations globally.
Skills
Leadership
Optimization
Python
C++
Education
STEM discipline
Tools
Linux
Unix
Job description
Main Responsibilities
Manage Trading Systems: Oversee the development and maintenance of state-of-the-art high-frequency trading systems and applications.
Collaborate Across Teams: Work closely with top-tier quantitative teams and technologists from various trading divisions to optimize trading solutions.
Enhance Operations: Drive improvements in trading operations across multiple asset classes globally.
Candidate Requirements
Demonstrated experience in leading and mentoring engineering teams within a fast-paced environment.
Track record of optimizing and maintaining HF trading systems.
Strong programming skills in Python and C++.
Solid knowledge of Linux/Unix systems for server management and deployment.
Strong academic credentials in a STEM discipline, preferably in computer science or engineering.