Kailasa Capital Advisors LLP
Website:
kailasacapital.in
Job details:
About the Role
This is not a typical Python developer role.
You will work directly with trading data and research pipelines that determine whether a strategy gets deployed with real capital or rejected.
Your work will involve building backtesting systems, handling large datasets, and validating ideas in a live trading context.
This is an execution-heavy, data-driven role where output quality directly impacts trading decisions.
What you'll do
- Build and maintain Python-based backtesting systems for trading strategies
- Work with large historical market datasets (minute-level, tick-level, logs, APIs)
- Fetch, validate, and integrate market data from external sources and broker APIs
- Clean, align, and process time-series data using pandas and related tools
- Debug and improve existing research and execution codebases
- Collaborate closely with traders to translate strategy ideas into testable systems
- Build internal dashboards (Streamlit or similar) to visualize performance and insights
- Assist in deploying internal tools and dashboards (basic cloud / VPS setup)
What we're looking for
Core Requirements
- Strong Python fundamentals (non-negotiable)
- Hands-on experience with pandas for real-world data (not just tutorials)
- Ability to debug code independently
- Comfort working with messy, real datasets (missing data, misalignment, edge cases)
- Ability to write clean, structured, and reliable code
Mindset
- Ownership-driven: you take tasks end-to-end without constant supervision
- Execution-focused: you care about working systems, not just ideas
- Curious and practical: you ask “does this actually work?”
Good to have (not mandatory)
- Experience with financial markets / trading
- Experience with backtesting systems or time-series analysis
- Familiarity with APIs, WebSockets, or live data pipelines
- Exposure to Redis, databases (MySQL/PostgreSQL), or cloud deployments
Who should apply
- Final-year students or recent graduates in Engineering / CS / Math / Stats
- Candidates with at least one real project involving data or systems (GitHub preferred)
- Candidates who can demonstrate actual problem-solving ability (not just coursework)
About Kailasa Capital
Kailasa Capital Advisors LLP is a systematic trading firm focused on Indian markets.
We design, test, and deploy trading strategies using in-house research, data, and execution systems.
This role works closely with the trading desk - your work directly influences live capital deployment.
Compensation
₹4,00,000 – ₹5,00,000 CTC
Click on Apply to know more.