at Magma Capital Management LLC (

DBA:

Aleto) in Chicago, Illinois, United States Job Description Aleto (Chicago, IL) seeks Quantitative Researchers to dig into current structure of our trading system and performs quantitative research and analysis to improve the performance of live trading.

Specific duties include:

utilize statistics, programming, and math skills to construct the framework of quantitative research; build the machine learning pipelines connecting the data base to back-test results, including the implementation of machine learning models, creation of the framework for testing different technical features, automation of hyperparameter tuning, and the application of different mathematic metrics to evaluate the feature and model; conduct research in cutting edge data science modeling and understand the math deduction behind it; replicate research models and make improvements; improve the back-testing system's accuracy and efficiency; ensure systems can provide reliable back-testing results of the researched model; manage a large amount data in the Cloud and server using data programming tools such as SQL, Python, or Spark. Must take and pass pre-interview coding test. Option to work remotely 40% of the time. Two positions are available. Position requires a Master's degree, or foreign equivalent, in Computational Finance, Financial Engineering, Financial Mathematics, Engineering Science and Applied Mathematics, Statistics, Computer Science, or a closely related field of study. Must have experience, gained through education, internship, or work, with each of the following: programming skills: using Python or C++ to carry out quantitative research and development work; building statistical regression, machine learning, and deep learning models, and using popular machine learning and statistical packages such as scikit-learn, PyTorch, or TensorFlow; quantitative research on financial datasets, such as data processing and statistical analysis including regression, estimation, time series modeling, or Monte Carlo simulation techniques; and quantitative risk management, including PnL analysis, strategy/model backtesting, factor analysis, derivatives pricing, model validation, or sensitivity analysis. Must take and pass pre-interview coding test. Option to work remotely 40% of the time. Two positions are available.

Salary:

$200,000/yr.

Benefits include:

unlimited PTO; 401(k) with 2.5% match; medical benefits with 75% employer-paid premiums for employees and dependents; co-working office access with amenities. Full time position. Apply by submitting your resumes to bstratman@aleto.co , reference

Job ID:

QR2026 in the subject line. To view full details and how to apply, please login or create a Job Seeker account