Location : Toronto, ON, CanadaJob Type : PermanentDate : 4 / 14 / 2022Job ID : 9C39672414Category : Information Technology
If you are a talented and experienced Data Scientist, David Aplin Group has the right opportunity for you for a remote position!
Responsibilities :
- Data Engineering – the candidate will organize, manipulate, filter, and visualize a large quantity of data. He will explore data reduction techniques to optimize memory allocation and processing time and build efficient ML training and validation pipeline
- Reinforcement Learning – the candidate will improve current RL algorithms
- Coding – the candidate will implement his research and code in Python / TensorFlow
- Validation and deployment - Validate and tune models, deployment of these trading algorithms preferably in C++
- Domain Expertise – the candidate is expected to gain a deep understanding of stock markets and quantitative trading strategies
Required Qualifications :
Ability to apply critical thinking and creative problem-solving skills. The candidate must be able to make data-driven decisionsMust be able to self-motivate, bring his / her skills to the next level, and must be able to learn techniques quickly and effectively, and conceptsProficiency in Machine learning and Deep Learning. The candidate must have a proven track record of deploying TensorFlow models in production and producing business valueProficiency in Python and TensorFlowExpertise in SQL required, experience with APIs and knowledge of AWS Athena, AWS Sagemaker, and data architecture a plusMust be able to communicate effectively & proactively with the team to accomplish business objectivesM.S. or Ph.D. in Quantitative disciplines such as Mathematics, Physics, Statistics, Data Science, or Quantitative FinanceDesired Qualifications :
Proficiency in Reinforcement Learning (DDQN, A2C, and A3C)Proficiency in C++ programmingFamiliarity with cloud-based platforms, in particular, AWS EC2, dockersStrong understanding of statistics and linear regressionGood knowledge of signal processing and time series analysisJob ID : 9C39672414
If you are interested in this position and meet the qualifications, apply today! We thank all applicants; however, only those who are authorized to work in Canada or are selected for an interview will be contacted.
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