overview:
join a leading tier 1 algorithmic trading firm that leverages cutting-edge technology and quantitative finance expertise to design advanced high-frequency trading systems. we are seeking a highly experienced and successful quantitative trader to manage and enhance our proprietary trading strategies.
responsibilities:
- strategy management: design, enhance, and analyze high-frequency trading strategies.
- performance optimization: implement and refine profitable trading strategies, ensuring optimal performance.
- tool development: develop and maintain analytical tools to support quantitative trading.
- data analysis: conduct thorough performance analysis and backtesting of trading strategies.
requirements:
- education: graduate from iit/iim or equivalent top-tier institution.
- experience: minimum of 2+ years in quantitative trading at a tier 1 algorithmic trading company.
- proven track record: demonstrated success in implementing profitable trading strategies, including research, design, back-test, and execution.
- technical skills: proficiency in big data analytical tools such as r and python.
additional skills (nice-to-haves):
- experience with unix/linux scripting.
- proficiency in c/c++ programming.
- familiarity with data tool sets like bloomberg.
ideal candidate traits:
- integrity: honest and professional with high ethical standards.
- initiative: proactive and continuous learner.
- team player: collaborative with strong leadership skills.
- adaptability: thrives in dynamic and fast-paced environments.
- problem-solving: strong critical thinking and analytical skills.
perks and benefits:
- education allowance: access to exclusive algo-trading courses and knowledge-sharing sessions.
- fitness and wellness: annual 'cult fit' memberships, stress management sessions, and comprehensive health checkups.
- work-life balance: flexible leave policy with 5 weeks of paid vacation and generous leave options.