(low-latency, high-frequency decision making, fast order handling).
This role is ideal for someone who loves markets, statistics, and building real systems--not just research papers.
Key Responsibilities
Build and iterate
intraday alpha strategies
(momentum, mean reversion, breakout, volatility, microstructure-driven logic).
Develop
event-driven strategy engines
in Python (tick/1s/5s bars, streaming pipeline).
Create robust
backtesting + forward-testing frameworks
(slippage, fees, latency assumptions, realistic fills).
Integrate with broker APIs (example: Zerodha / Dhan / Kotak / Upstox or similar) for live execution.
Implement
risk controls
: kill-switch, max loss/day, position limits, exposure caps, trade throttles.
Work on
near-HFT execution improvements
:
latency-aware architecture
fast data ingestion
order management + retries
smart order routing concepts (where applicable)
Monitoring & reporting: trade logs, performance dashboards, alerts, strategy health checks.
Required Skills
Strong
Python
(clean code, performance mindset, async/event-driven patterns).
Solid understanding of
market mechanics
: order types, spreads, liquidity, slippage, execution impact.
Good knowledge of
intraday trading
& risk management.
Experience with:
pandas/numpy, vectorization
websockets/streaming data
REST APIs
database logging (Postgres/Redis/ClickHouse preferred)
Good to Have (Big Plus)
Options knowledge (Greeks, IV, intraday scalping logic).
Prior experience with
HFT-like systems
/ low latency engineering.
Familiarity with: Redis/Kafka/Kinesis, Docker, Linux, AWS, monitoring tools.
C++ is a plus (not mandatory).
What Success Looks Like
Strategies are stable, measurable, and improve iteratively.
Execution is fast, controlled, and resilient during volatility.
Clear performance tracking and strong discipline around drawdowns.
Compensation
Competitive (based on skill + experience)
Performance-based incentives possible.
Job Types: Full-time, Permanent
Pay: ₹12,000.00 - ₹40,000.00 per month
Work Location: In person
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