Machine Learning Research Internship, Systematic Equities Full Time

About the job
Please direct all resume submissions to QuantTalent@mlp.com and reference REQ-15584 in the subject.

Job Description

Machine Learning Quantitative Researcher as part of a small, collaborative team, with a focus on systematic, global equities and futures trading. The ideal candidate will be hired as a paid intern for one year, with the potential to be hired full-time following successful completion of the internship program.

Preferred Location

Flexible, with a preference for Dubai, Europe or Asia

Principal Responsibilities

Working alongside the SPM on alpha research, with a primary focus on: idea generation, data gathering and research/analysis, model implementation and back testing
Developing and deploying machine learning methods for signal generation
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 variety of datasets to build predictive models which will be deployed in the investment process
Collaborating with the SPM in a transparent environment, engaging with the whole investment process

Preferred Technical Skills

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
Minimum Major GPA 3.7

Preferred Experience

Experience with implementing deep learning models is a prerequisite for this role

Highly Valued Relevant Experience

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
Strong economic intuition and critical thinking

Target Start Date

As soon as possible