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

Apply:-

Please send a PDF resume to quants@wkafinance.com

Apply