Quantitative Researcher

4 weeks ago


Chicago, Illinois, United States Quanta Search Full time

This role is part of a centralized team responsible for the Market Simulator research tool sets and data sets utilized by the client's trading community.

The simulation platform is a high-performance system providing traders a competitive edge to optimize and execute their strategies.


Key Responsibilities:


Conduct research projects associated with latency and available liquidity prediction, as well as algorithmic improvement based on requirements provided by internal trading teams.

Determine efficient methods to store and analyze large amounts of data and develop tools to evaluate market data and improve trading strategies performance.

Partner with internal trading teams to build and enhance market prediction models using quantitative problem solving and advanced statistical techniques.

Investigate and design data mining and machine learning algorithms to model and forecast future price actions and volatility.

Develop scalable quantitative research frameworks using Python, C++, and other software systems.

Research new methods for capturing risk exposure, evaluating risk/reward, and performance attribution across multiple asset classes.

Build and expand the current revenue base by developing and exploring new opportunities.


Requirements:


A background in Machine Learning and Statistics

Strong Python experience

Experience with C++ or another lower-level language a plus

Excellent problem-solving abilities



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