The Algo Trader role is crucial for the development and execution of algorithmic trading strategies to enhance our trading operations. The ideal candidate will leverage quantitative analysis, market research, and advanced programming skills to optimize trading performance and manage risk effectively.

Key Responsibilities:

Develop, test, and implement sophisticated trading algorithms for various financial instruments.
Monitor market conditions and modify algorithms as necessary to capitalize on trading opportunities.
Conduct rigorous back-testing of trading strategies to assess performance and identify areas for improvement.
Collaborate with the risk management team to ensure alignment of trading strategies with risk tolerance levels.
Utilize statistical analysis and machine learning techniques to refine algorithmic strategies based on market data.
Maintain and enhance existing trading systems, ensuring high efficiency and reliability.
Provide regular reports on trading performance and strategies to management.

1. Live Trading Operations (40%)
Monitor AWS EC2 + IBKR connection in from 7:00 pm to 1:30 am IST (maintain 99.9%+ uptime)
Daily pre-market checks, during-market monitoring, post-market reconciliation
Handle system failures, alerts, logging
Verify order execution success rate
2. Database & Reporting (35%)
Design + implement MySQL schema for:
Trade audit trail (immutable log of every trade with timestamp, price, PnL)
Daily/weekly/monthly performance metrics
Risk events (limit breaches, system failures)
3. Strategy Development & Optimization (25%)
This stage comes after everything is in place
Create Back test and deploy new strategies (1+ per month)
Parameter optimization based on live data
Fix existing issues
Write clean, production-ready Python code

Must-Have:
3+ years Python: pandas, numpy, vectorization; strong code quality and Git discipline.
2+ years SQL/MySQL: Query optimization, schema design, indexing
2+ years Trading Domain: prop trading, IBKR or similar API integration, understanding of slippage/commission/liquidity
AWS: EC2, RDS, S3, Cloud Watch basics
System Design: Monitoring, alerting, disaster recovery concepts
Nice-to-Have:
BI tools (Metabase, Grafana)
Bash scripting
Docker/DevOps

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Algo Trader