Python Developer

• 5+ years of strong development experience in Java, Python, or both
• Must have strong mathematical aptitude and experience with data streaming platforms
• Familiarity with machine learning frameworks like NumPy and Pandas
• Spring Boot (Java) and Flask (Python) experience required
• Must be able to code comfortably in Python or Java, with preference toward aptitude and ability to learn quickly
• Preference: Someone strong in either Java or Python is acceptable if they demonstrate strong numerical and problem-solving skills

Interview & Vetting Details

• Format: One 90-minute technical interview (coding + numerical problem-solving)
• Programming assessment will involve numerical/data-focused problem-solving; screen share required with all windows visible
• Strong emphasis on math aptitude, data structures, and clean, efficient coding

Vetting Question
Please ensure your candidates are prepared to speak about:

• Their most recent development project
• Technologies and tools used
• Whether they lean more toward Python or Java
• Any experience related to machine learning or data streaming

Project Context
The project focuses on market trading and pricing prediction. It collects data from sources like Bloomberg and trading exchanges, then uses machine learning algorithms trained nightly (on 5-day trading data) to predict realistic price spreads.

• The front-end service is built in Java to integrate with enterprise tech/APIs
• The back-end machine learning models are in Python, training data daily and interfacing with Java services
• This project provides a valuable opportunity for candidates interested in real-world applications of ML in trading