Trader

As a high frequency trader, you will have the opportunity to build a new trading desk and collaborate with existing trading desks to enhance revenue opportunities. You will thrive in a dynamic environment that values excellence, fosters new ideas, evaluates them, and ensures efficient execution. Key Responsibilities: - Possess a BTech, MSc, or PhD from a reputable institution in Maths, Physics, Computer Science, or related fields - Demonstrate expertise in statistical techniques and conducting research on large datasets - Showcase programming skills in languages such as C/C++, Java, Python, R, or Matlab - Ability to work independently or within a team, leading research projects from conception to implementation - Mandatory prior experience in algorithmic trading or familiarity with high-frequency financial data - Have a minimum of 3-4 years of experience in high frequency trading - Exhibit strong communication skills to present ideas and strategies effectively to peers and senior management - Develop consistently profitable strategies with a proven track record - Display excellent leadership qualities - Collaborate with developers to oversee the development of advanced trading/risk systems, including understanding requirements and developing new functionalities - Experience in working on quantitative or statistical arbitrage or machine learning-based strategies Qualifications Required: - BTech, MSc, or PhD in Maths, Physics, Computer Science, or related fields - Proficiency in statistical techniques and research on large datasets - Programming skills in C/C++, Java, Python, R, or Matlab - Prior experience in algorithmic trading or high-frequency financial data - Minimum 3-4 years of high frequency trading experience - Strong communication skills for effective interaction with peers and senior management - Leadership qualities for guiding projects from conception to execution - Familiarity with quantitative or statistical arbitrage, or machine learning-based strategies,