Trainee/Associate Quant Developer

Role Overview: You are being hired as a fast learner to build and operate the backtesting, paper, and live execution stack in Python. Your main responsibilities will include turning strategy specifications into code, conducting rigorous backtests, routing orders to brokers in paper/live, and enforcing risk guardrails. You will be working within a clear architecture, utilizing AI tools to speed up delivery, and delivering end-to-end features under senior review. Key Responsibilities: - Backtesting engine: Implement strategy interfaces, signal order flow, fills/slippage/fees, P&L and risk metrics; avoid look-ahead/survivorship bias. - Data pipelines: Ingest/normalize historical datasets (futures/options), calendars & timezones, contract rolls; cache & validate data. - Paper & live execution: Build/extend broker adapters (REST/WebSocket), place/modify/cancel orders with idempotency, retries, and reconciliation (positions, cash, fills). - Risk controls & audit: Max loss, quantity caps, circuit breakers; full audit trails and run artifacts. - Config-driven runs: JSON/YAML strategy configs; .env for environments; clean debug logs. - Analytics & reporting: Use NumPy/Pandas for metrics; export CSV/Excel summaries when needed. - Quality: Tests with pytest, reproducible runs, deterministic seeds; structured logging and basic metrics. - Dev workflow: Git branches + PRs, meaningful commits; Docker for local runs; AI-assisted development documented in PRs. Qualification Required: - Python 3.x proficiency (OOP, typing), with NumPy/Pandas basics. - API skills: Build/consume REST; WebSocket fundamentals; requests/httpx familiarity. - Testing & debugging: pytest + fixtures; log-driven troubleshooting. - Data & SQL: Joins, indices; comfort with Postgres/MySQL (basic). - Time handling: Timezones, trading calendars, intraday timestamps. - Git & Docker (basics): Branch/PR workflow; run services with Docker Compose. - AI fluency: Use ChatGPT/Copilot to scaffold code/tests; explain what was AI-generated vs. hand-written. - Market basics: Order types, futures/options terminology, margins/fees (we'll deepen this in Week 1). - Mindset: Self-motivated, fast learner, follows patterns, writes clear README/notes. - Market Knowledge: Read and understand Zerodha Varsity: Intro to Stock Market, Technical Analysis, Futures Trading, Options Theory (Modules 1,2,4,5). Additional Details: The company you will be working for is focused on elevating businesses with Technology, Services, and Industry-Specific Solutions. You can find more information about the company and benefits on www.rigelnetworks.com/careers.,