Part-Time Algorithmic Trader
Job Type: Part-Time
Experience: 1–5 Years
Location: Remote / Hybrid
About the Role
We are looking for a talented and motivated Algorithmic Trader to join our team on a part-time basis. The ideal candidate should have experience in designing, developing, and optimizing automated trading strategies. You will work with market data, build trading algorithms, and continuously improve strategy performance through research and testing.
Responsibilities
Develop, test, and deploy algorithmic trading strategies.
Analyze historical and live market data to identify trading opportunities.
Build and maintain backtesting frameworks.
Monitor live trading systems and optimize strategy performance.
Implement risk management and position sizing techniques.
Integrate broker APIs and automate trade execution.
Work closely with developers and research teams to improve trading systems.
Document strategies, performance reports, and research findings.
Requirements
1–5 years of experience in algorithmic, quantitative, or systematic trading.
Strong proficiency in Python.
Experience with Pandas, NumPy, and data analysis libraries.
Knowledge of financial markets, trading strategies, and risk management.
Experience with broker APIs and automated trading platforms.
Familiarity with SQL, Git, and Linux.
Strong analytical, problem-solving, and communication skills.
Ability to work independently and deliver results.
Preferred Qualifications
Bachelor's degree in Computer Science, Engineering, Mathematics, Finance, or a related field.
Experience with machine learning in trading.
Knowledge of options, futures, forex, or cryptocurrency markets.
Experience with cloud platforms and Docker is an advantage.
What We Offer
Flexible part-time work schedule.
Competitive compensation based on experience.
Opportunity to work on cutting-edge algorithmic trading systems.
Collaborative and growth-focused work environment.
Performance-based incentives and long-term opportunuties.
Pay: ₹25,000.00 - ₹50,945.53 per month
Work Location: Remote
