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Data Science Quantitative Engineer
IT Application Development
Chicago, IL, 60602
Contract
Ref.: 135300
Job Summary:
Our client is seeking Data Science Quantitative Engineer to join their team! This position is located in Chicago, Illinois.
Duties:
Our client is seeking Data Science Quantitative Engineer to join their team! This position is located in Chicago, Illinois.
Duties:
- Drive quantitative research from idea generation through to data acquisition, statistical analysis, and documentation of findings, with a particular focus on predictive alpha models
- Develop and implement sophisticated fixed income investment models and trading strategies using a rigorous scientific approach
- Integrate quantitative research findings into portfolio management, risk management, and trade execution processes to optimize investment outcomes
- Enhance the investment process of the company's quantitative credit strategies
- Conduct empirical research applying findings to signal creation, portfolio construction, and risk assessment
- Utilize machine learning and AI techniques to innovate and refine investment strategies, leveraging technology to drive superior performance
- Collaborate with team members and effectively communicate research findings within the organization and to external stakeholders, including clients and prospects
- Master's degree in a technical or quantitative discipline such as: statistics, mathematics, physics, electrical engineering, computer science, applied economics, or finance
- 5+ years of relevant experience as a hands-on quantitative investment professional, with a track record of developing predictive alpha models in fixed income markets
- Systematic Fixed Income investing experience a plus
- Proficiency in at least one programming language, ideally Python, with additional experience in PySpark, SAS , MATLAB, or R being advantageous
- Hands on experience working in Azure Cloud Services, ADLS, ADF, Databricks will be very helpful
- Strong knowledge of asset pricing, factor anomaly literature, and the application of sustainability data within an investing context
- Expertise across the entire quantitative investment lifecycle, including alpha research, risk management, portfolio management, trade execution, and the application of technology
- Experience in applying machine learning models within an investing context, with familiarity in alternative data as an advantage
- Ability to think independently, creatively approach data analysis, and clearly communicate complex ideas
- Medical, Dental, & Vision Insurance Plans
- Employee-Owned Profit Sharing (ESOP)
- 401K offered
