Algorithmic Developers

Algo Developers also called Quantitative Analysts or Quants, design and implement trading algorithms that apply artificial intelligence, machine learning, and deep learning techniques for the purpose of allowing financial firms to price and trade securities. They are employed primarily by proprietary trading firms, investment banks, hedge funds, and other financial institutions that manage funds or have trading/investment operations.  Quants typically work directly with traders, providing them with algos for the purpose of pricing or trading.

Posts

World Market Access

Futures Radio Show from FIA Expo 2017

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An interview by Anthony Crudele of Futures Radio Show discussing the success of the Trading Strategy Incubator, crowd researching, and algorithmic trading.
Crowdsourcing Algorithmic Research

​CloudQuant Is a Trade Strategy Incubator That's Looking to Develop and Fund Algorithm Traders

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A rising population of programmers, data scientists and mathematicians are now looking to write complex codes for automated investment strategies of their own. This is crowdsourced algorithmic trading.
Crowdsourcing Algorithmic Research

CloudQuant at FIA Expo in Chicago: perfect storm for open source revolution in quant trading

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The impact of machine learning and open source resources on quant trading could be described as explosive. At FIA Expo in Chicago, CloudQuant’s CEO Morgan Slade will be discussing how that’s translating into opportunity for a wider variety of participants.
Scorecard

Backtest Visualization on CloudQuant

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The Quantitative Strategy Backtest ScoreCard is saving time for crowd researchers who are able to visualize the results of multi-day backtests quickly, even as the backtest is running.
Crowdsourcing Algorithmic Research

CloudQuant Continues To Allocate Millions to Crowd Researchers

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CloudQuant allocates $10 million to another crowd researcher by funding and leasing a crowd sourced trading algorithm. The licensor will receive a direct share of the monthly net trading profits.
Business charts

Senior Software Engineer Team Lead 2H17

As a technical lead and integral part of our product development team, you’ll be responsible for maintaining and extending our CloudQuant platform. This product is unique in that it allows quantitative traders to develop trading strategies from anywhere in the world and trade with us.
chicago cityscape and sears tower

Built in Chicago: Wanna try your hand at high-frequency trading? There's an app for that

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Built in Chicago discusses CloudQuant, a Chicago-based algorithmic trading startup, lets anyone try their hand at devising their own strategies.
Quantitative Strategy, Trading, and Algo Development Industry News

Quantitative Trading and Data Science in the News August 28, 2017

Quantitative Trading and Data Science in the News August 28 2017: CloudQuant opens door to crowd algo traders, RBC AI pilot, RBC pilots AI-based financial insight tools, AI focussed Chip, Momentum trading guide...
chicago cityscape and sears tower

Chicago - Experienced Quantitative Portfolio Manager or Strategist

CloudQuant’s Global Systematic Trading unit is seeking experienced Quantitative Portfolio Managers and Strategists for the U.S. equity market. Ideal candidates will have an MS or Ph.D. in an Engineering or Pure Science discipline from a top school with formal academic coursework in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Digital Signal Processing,
San Francisco

San Francisco - Experienced Quantitative Portfolio Manager or Strategist

CloudQuant’s Global Systematic Trading unit is seeking experienced Quantitative Portfolio Managers and Strategists for the U.S. equity market. Ideal candidates will have an MS or Ph.D. in an Engineering or Pure Science discipline from a top school with formal academic coursework in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Digital Signal Processing,