Algo Trader

As a Quant Trader at our client, a global quantitative trading firm specializing in various asset classes, your role will involve designing and implementing high-frequency trading (HFT) strategies utilizing historical global data. You will be responsible for planning, developing, and enhancing quantitative strategies and code, studying trading signals, constructing predictive models, and enhancing existing trading strategies. Additionally, you will be involved in back testing and deploying trading models in a live environment. Your qualifications and skills must include a BE, BTech, or MS degree in Maths, Statistics, or Financial Engineering from a Tier 1 institute. You should possess at least 2 years of relevant experience in investment banking, asset management, or hedge fund management. Proficiency in Machine Learning, time-series analysis, pattern recognition, and NLP is essential. Strong coding abilities in Python, C++, and financial engineering are required. Excellent communication skills, both written and verbal, are crucial, as you will collaborate closely with technical and non-technical stakeholders. As a valued team player, you should be comfortable working in a fast-paced front office environment. Please be aware that only shortlisted candidates will be contacted due to the high volume of applications. If you do not receive a response within the next 5 business days, we regret to inform you that your application for this position was unsuccessful. As a Quant Trader at our client, a global quantitative trading firm specializing in various asset classes, your role will involve designing and implementing high-frequency trading (HFT) strategies utilizing historical global data. You will be responsible for planning, developing, and enhancing quantitative strategies and code, studying trading signals, constructing predictive models, and enhancing existing trading strategies. Additionally, you will be involved in back testing and deploying trading models in a live environment. Your qualifications and skills must include a BE, BTech, or MS degree in Maths, Statistics, or Financial Engineering from a Tier 1 institute. You should possess at least 2 years of relevant experience in investment banking, asset management, or hedge fund management. Proficiency in Machine Learning, time-series analysis, pattern recognition, and NLP is essential. Strong coding abilities in Python, C++, and financial engineering are required. Excellent communication skills, both written and verbal, are crucial, as you will collaborate closely with technical and non-technical stakeholders. As a valued team player, you should be comfortable working in a fast-paced front office environment. Please be aware that only shortlisted candidates will be contacted due to the high volume of applications. If you do not receive a response within the next 5 business days, we regret to inform you that your application for this position was unsuccessful.