What You’ll Do

• Collaborate with researchers and traders to design and implement systematic trading strategies.

• Build scalable systems for data acquisition, storage, and analysis.

• Develop tools for simulation, visualization, and post-trade analytics.

• Optimize distributed computation for trading strategy simulations.

• Contribute to all layers of the tech stack, from software design to production deployment.

• Evaluate and integrate new technologies to enhance research and trading infrastructure.

Qualifications

• Bachelor’s in Computer Science, Computer Engineering, or a related field.

• Strong programming skills in Python.

• Deep understanding of algorithms, data structures, and object-oriented design.

• Solid grasp of quantitative finance concepts and applied mathematics.

• Experience with multi-threaded applications and distributed systems.

• Strong knowledge of computer systems - hardware, OS, memory, and networking.

• Clear communication and coding style with a focus on building maintainable software.