Quantitative Investment Professional
4 weeks ago
Bachelor's degree in Computer Science, Information Technology, or a related field with a minimum of 9 years of experience in quantitative investment.
Key Responsibilities:
Develop predictive alpha models in fixed income markets, with a strong track record of success.
Preferred Qualifications:
Masters or PhD in a technical or quantitative discipline, such as statistics, mathematics, or computer science.
Technical Skills:
Proficiency in at least one programming language, ideally Python, with experience in PySpark, SAS, MATLAB, or R.
Cloud Experience:
Hands-on experience working in Azure Cloud Services, ADLS, ADF, and Databricks.
Investment Knowledge:
Strong knowledge of asset pricing, factor anomaly literature, and the application of sustainability data within an investing context.
Leadership Skills:
Expertise across the entire quantitative investment lifecycle, including alpha research, risk management, portfolio management, trade execution, and technology application.
Machine Learning:
Experience in applying machine learning models within an investing context, with familiarity in alternative data as an advantage.
Soft Skills:
Ability to think independently, creatively approach data analysis, and clearly communicate complex ideas.
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