We are seeking a highly motivated and talented quantitative researcher to join our team of finance professionals. The ideal candidate will have a passion for using data and mathematical models to make informed investment decisions and drive alpha generation in the stock market. As a quantitative researcher, you will play a critical role in designing, testing, and implementing algorithmic trading strategies that identify and capture profitable trading opportunities. You will work closely with our team of traders, data scientists, and portfolio managers to analyze large datasets and develop predictive models that inform our trading decisions.The ideal candidate will have a strong background in mathematics, statistics, and computer science, as well as experience in developing and applying machine learning algorithms to financial data. In addition to your technical skills, you should be a creative problem-solver with excellent communication and collaboration skills, able to work effectively- in a fast-paced, high pressure environment. This is an exceptional opportunity to join a dynamic and innovative organization at the forefront of the financial industry. If you have a passion for using data and technology to drive financial success, we encourage you to apply.
KEY RESPONSIBILITIES
- Design, test, and implement algorithmic trading strategies
- Analyze large datasets to identify market trends and patterns
- Develop predictive models using machine learning algorithms
- Work closely with traders, data scientists, and portfolio managers to inform investment decisions
- Communicate findings and insights to the overall team and stakeholders
QUALIFICATIONS
- Degree in a relevant field such as mathematics, statistics, computer science, or finance
- Strong technical skills, including expertise in machine learning, data analysis, and algorithmic trading
- Experience working with large financial datasets and time-series data
- Excellent problem-solving and critical thinking skills
- Excellent communication and collaboration skills
