About Stochastic
Stochastic is a newly established quantitative software startup headquartered in Nasr City, Cairo. Founded by a PhD graduate from the Massachusetts Institute of Technology (MIT), the company is building high-performance quantitative software systems and AI-driven trading algorithms for the U.S. stock market.
About the Role
We are seeking a highly capable Computer Engineer or Computer Scientist with strong proficiency in Python, particularly NumPy and pandas, excellent attention to detail, and a solid foundation in algorithms, data structures, and computational reasoning. Strong English proficiency is required, including the ability to write clear technical reports and documentation.
Key Responsibilities
- Develop components of our Python trading system.
- Process and validate historical and real-time market data.
- Implement quantitative algorithms, indicators, and trading logic.
- Optimize code for performance, reliability, and efficiency.
- Write clear technical documentation and tests.
Required Qualifications
- Bachelor’s degree or higher in Computer Engineering or Computer Science.
- Strong proficiency in Python.
- GPA of 3.5 or above, or an overall grade of 80% or above.
- Strong written and spoken English, including technical writing.
- For Egyptian citizens: military service must be completed or an official exemption obtained.
- This is a full-time role requiring full commitment. In line with company policy, concurrent university study, other employment, or freelance work is not permitted.
Preferred Qualifications
- Previous experience as a teaching assistant at a university.
- Participation in programming competitions (e.g., ICPC, ECPC) is a strong advantage.
Work Model & Compensation
- Location: Nasr City, Cairo, Egypt
- Full-time, on-site — no remote work
- Working hours: Monday to Friday, 2:00–10:00 p.m., aligned with U.S. market hours.
- Salary: EGP 25,000 gross per month (fixed)
- Signing bonus: EGP 15,000
Interview Process
- Round 1: In-person introductory interview and one Python programming problem to solve and code without AI assistance.
- Round 2: Comprehensive technical interview, scheduled separately. Study materials will be provided in advance.
