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Job Location: Mumbai (All Areas)
Theremin.ai, an AI focused Quant Investments firm is looking for a Lead ML Scientist to innovate and apply AI and Machine Learning techniques to developing investment models. An entrepreneurial opportunity to innovate as Artificial Intelligence is set to drive the next evolution of quantitative trading and impact the broader asset management industry. Be member of a team building a well-supported, top-notch investment house.
Theremin.ai is a part of the Fractal.ai group. Fractal is a global leader at the forefront of applying AI, Machine Learning and Big Data to develop data-driven insights and predictions. Forrester Research recently named Fractal Analytics as the #1 leader globally among Customer Analytics Service Providers.
Responsibilities
- Research AI-ML applications in the financial investments space and generate ideas for Theremin.
- Strong hands on with Python, Machine Learning
- Build Deep Learning and Reinforcement Learning models to develop investment algorithms. Develop NLP models in medium term.
- Identify and setup datasets and generate features.
- Enhance current platform for Data, ML modelling and testing.
- Develop deeper understanding of quantitative investing.
- Refine ML-driven investment process.
- Lead and guide ML team in developing models and implementing ideas.
- Recruit talent for ML and technology, as needed.
Requirements
- 6-10 years experience in data science and ML. – 6 years minimum into core DS work.
Innovation, Enthusiastic + research background big plus | Finance background big plus
- Intermediate to advanced knowledge of machine learning, probability theory, statistics, and algorithms.
- Knowledge/experience in applying data science to investing or quantitative finance a big plus.
- Strong research, analytical and problem solving skills.
- Programming experience using Python.
- Academic degree(s) in analytical fields like Computer Science, Maths, Engineering from top-tier institute(s).
- Self-starter and team player with a strong work ethic willing to work in an unstructured environment.
- Technology: Linux environment, PyTorch, TensorFlow, etc.
An exciting, entrepreneurial opportunity to innovate and create a market-leading business based in India that will grow into a global franchise.
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