Location: Gurgaon (WFO)
Experience: 2-4 years
About the Company
Our client is a Gurgaon-based investment management firm specializes in developing and executing quantitative trading strategies through an automated infrastructure. Leveraging proprietary algorithms, it aims to generate superior risk-adjusted returns by identifying inefficiencies in capital markets. The firm employs a range of fund management strategies across various asset classes, focusing on opportunities with high potential for capital appreciation. With a team of professionals skilled in mathematics and computer science, the company fosters an entrepreneurial and collaborative work environment to drive innovation in systematic trading
Key Responsibilities
- Design and Implementation: Develop robust solutions for monitoring and metrics infrastructure to support algorithmic trading.
- Technical Support: Provide hands-on support for live trading environments on Linux servers, ensuring seamless trading activities.
- Problem Resolution: Leverage technical and analytical skills to identify and resolve issues related to application and business functionality promptly.
- Database Management: Administer databases and execute SQL queries to perform on-demand analytics, driving data-informed decision-making.
- Application & Network Management: Manage new installations, troubleshoot network issues, and optimize network performance for a stable trading environment.
- Python Infrastructure Management: Oversee Python infrastructure including Airflow, logs, monitoring, and alert systems; address any operational issues that arise.
- Airflow Management: Develop new DAGs (Python scripts) and optimize existing workflows for efficient trading operations.
- Infrastructure Optimization: Manage and optimize infrastructure using tools such as Ansible, Docker, and automation technologies.
- Cross-Team Collaboration: Collaborate with various teams to provide operational support for different projects.
- Proactive Monitoring: Implement monitoring solutions to detect and address potential issues before they impact trading activities.
- Documentation: Maintain comprehensive documentation of trading systems, procedures, and workflows for reference and training.
- Regulatory Compliance: Ensure full adherence to global exchange rules and regulations, maintaining compliance with all legal requirements.
- Global Market Trading: Execute trades on global exchanges during night shifts, utilizing algorithmic strategies to optimize trading performance.
Requirements:
- Experience: 2-4 years of experience in a DevOps role, preferably in a trading environment.
- Education: Bachelor’s degree in Computer Science or a related field.
- Proficiency in Linux, Python, and SQL.
- Hands-on experience with automation tools like Ansible and Docker.
- Experience managing CI/CD pipelines for frequent code testing and deployment.
- Python proficiency.
- NISM certification.
- Strong troubleshooting and problem-solving skills.
- Excellent communication skills.
- Ability to handle multiple tasks efficiently with strong time management.
- Proactive and ownership-driven attitude.
- Trading Experience: Experience trading in NSE and other global markets is required.