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ML- Quantitative Researcher

  • Remote
  • Specialism : Researcher
  • Post Date: August 14, 2024
  • Expires In : 53 Days
  • Apply Before: November 12, 2024
  • Applications 0
  • Views 522
Job Overview

We are seeking a talented and driven ML Quantitative Researcher to join our team to build and enhance a comprehensive automated research framework and pipeline. This role is integral to our mission of developing innovative and effective trading strategies.

  • Feature engineering, combination and monetization;
  • Research and develop a robust library of predictors and features;
  • Research and design novel predictors, leveraging machine learning techniques and neural networks;
  • R&D of linear and non-linear combination of features;
  • Hyper-parameter optimization and monetization of forecasts;
  • Execution and alpha for forecast monetization and risk management;
  • Post-trade research;
  • Collaborate with the trading team to integrate predictors into taking and market making strategies;
  • Analyze and optimize multi-horizon HFT and MFT trading strategies;
  • Conduct rigorous back testing and validation of predictive models;
  • Continuously monitor and improve the performance of existing predictors and the whole calibration pipeline;
  • Research and monetize different asset classes and markets.
  • Leading an open-ended research project from concept to production: finding compelling problems well suited to current and projected LLM capabilities.
  • Collaborating extensively with trading teams to understand requirements and constraints, and continuously improving model design, tools, and infrastructure.

Qualifications:

  • Proven experience in research, development and monetization of predictors
  • Knowledge of machine learning techniques (experience with neural networks is a plus);
  • Understanding and experience with taking or market making trading strategies;
  • Proven track record of working with HFT or MFT strategies;
  • Strong programming skills in Python, C++ or Rust. Proficiency in other programming languages is a plus.
  • Preferred Qualifications: Advanced degree (PhD or Master’s) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Physics or a related field;
  • Experience with statistical analysis, data mining, and predictive modeling;
  • Proven track record of several profitable strategies in HFT/MFT;
  • Strong problem-solving skills and the ability to work both independently and as part of a team;
  • Excellent communication skills, with the ability to clearly explain complex concepts to non-specialists

 

Are you interested in this position?
 
Apply by clicking on the “Apply Now” button below!
 
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ML- Quantitative Researcher

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