Machine Learning Equity Quant Researcher/ Flexible Location

Role:-

• Working alongside the PM on alpha research, with a primary focus on: idea generation, data gathering and research/analysis, model implementation and back testing for systematic equity strategies
• Developing and deploying machine learning methods for signal generation and portfolio optimization
• Building Machine Learning pipelines for efficient and scalable research to be leveraged in trading environment
• Combining sound financial insights and statistical learning techniques to explore, analyze, and harness a large variety of datasets in order to build strong predictive models which will be deployed to the investment process
• Collaborating with the PM in a transparent environment, engaging with the whole investment process

Requirements:-

• Strong research and programming skills are necessary
• Bachelors, Masters or PhD degree in a quantitative subject such as Applied Mathematics, Statistics, Computer Science or related field from a top ranked university
• 2-5 years of Machine Learning experience

• 2-5 years of experience working in a quantitative research capacity focusing on equities
• Strong preference for candidates coming from quantitative trading firms but open to individuals from banks as well

• Product experience in equities

Apply:-

Please send a PDF resume to quants@wkafinance.com