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Quantitative Research

Fellowship Program

Six month machine learning training. Advance your career to the next level. 

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Program
Alumni
The Team

The Team

The Program

Alumni

  • 6 month quantitative research training.  

  • Implement state of the art deep learning and reinforcement learning algorithms. 

  • Interview with leading technology and financial firms. 

  • Publish literature on strategies developed. 

  • Network with 40 previous researchers. 

  • Work under the supervision quantitative team. 

  • Collaborate with peers on findings. 

  • High energy work environment at Cambridge Innovation Center. 

Gain the experience necessary to succeed in high tech, quantitative research, or data science positions. Implement real world machine learning problems, publish findings, land a position with top firms.

Fellows come from top universities and often complete non-computer science PhD. They pursue technology, data and quantitative research roles. 

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Benefits:

Learn how to solve problems in quantitative finance

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Needs based scholarships available

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Research state of the art learning algorithms

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Develop skills sought by top tech and quant firms

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Program support till you receive a full time job offer

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Network with previous Algo Depth quants

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LearnMore
Research
Reinforcement Learning

Research in policy gradient, actor critic, and Q learning algorithms. Use cases include order execution, alpha generation, and asset allocation. 

Deep Learning

Primary focus on convolutional and recurrent neural networks used in alpha generation and feature selection.  

Signal Processing

Better estimate future prices by decomposing trends. Wavelet and Fischer Transform, among others, used to predict equity markets.  

ALGO DEPTH RESEARCHERS GO ON TO WORK AT TOP FIRMS

QUANTITATIVE RESEARCH
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INVESTMENT BANKING
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TECHNOLOGY
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Xiao Shi
Princeton PhD, Computational Chemistry
Quantitative Researcher - Barclays
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Isaac Chen
Brown PhD, Computational Physics 
Machine Learning Engineer Intern - Twitter
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Zixuan Zhang
Cornell Masters, Chemical Engineering 
Software Developer - Uber
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Yuan Sun
Columbia Masters, Operations Research
Quantitative Associate - Morgan Stanley
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