At Kailasa Capital, you will be exposed to the world of algorithmic trading and learn how a quant-based approach is used to build consistent money-making strategies in stock markets and derivatives. As an individual contributor, you would be working on various financial strategies to back-test them and build an execution pipeline that runs during live market hours.
Key Responsibilities:
1. Designing, implementing and maintaining Python applications
2. Working on large datasets to help build analytics
3. Contributing to all phases of the development lifecycle
4. Writing testable, scalable, and efficient code
5. Testing and debug new applications and updates
6. Maintaining & updating code documentation
Who can apply:
1. Good at Python along with pandas, and NumPy.
2. Good at Microsoft Excel basic formulas, vlookup, power query, and data relationships
3. Good at data structures
4. Good at basic Django experience
5. Good at debugging and exception handling
6. Knowledge about financial markets and stocks is preferable
7. Good at cloud, preferably AWS
8. Good at Linux preferably Debian
9. Good at Redis
10. 12 Pass from any state or national board
11. Excellent communication skills in English both written and spoken
12. Problem-solving attitude
13. A versatile team player with successful deliverables
1. Those who are from or open to relocate to Delhi and neighboring cities
Salary
Duration: 2 months
Salary during probation: ₹30,000 - 40,000 /month
After probation:
Annual CTC: ₹ 4,00,000 - 6,00,000 /year
Annual CTC breakup:
1. Fixed component: 80%
2. Variable component: 20%
Perks
Informal dress code 5 days a week Free snacks & beverages
Number of openings
1
About Kailasa Capital Advisors LLP
We are a proprietary trading firm focused on algorithmic trading in a range of asset classes. We use a systematic, quantitative-based methodology to identify factors that consistently generate alpha in the markets. These factors are then coupled with our disciplined approach and robust risk management to develop trading strategies for equities, commodities, and currencies.
