Responsibilities: Work on end-to-end API integrations (REST, WebSocket) Implement and optimize data pipelines using Pandas, NumPy Use DSA to solve real-world performance-critical problems Handle database interaction (SQLite, PostgreSQL, or MongoDB)
Responsibilities: * Monitor market trends & risks * Collaborate with team on new opportunities * Manage derivatives portfolio * Meet revenue targets through effective trading strategies * Execute trades efficiently
API Integrations: Design, implement, and maintain REST and WebSocket clients to ingest real-time market data Data Pipelines: Build and optimize ETL processes using Pandas and NumPy for downstream analytics AmiBroker Coding: Write, debug, and optimize Required Candidate profile Python Proficiency: 1–3 years of professional experience API Expertise: Hands-on with REST and WebSocket integration patterns Data Tools: Solid experience with Pandas and NumPy Database Skills