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Quantitative Research Analyst
2 months ago
We are seeking a highly skilled Quantitative Research Analyst to join our Asset Allocation team at Principal Financial Group. As a key member of our team, you will be responsible for developing and implementing quantitative investment models that drive our systematic equity and global macro portfolios.
Key Responsibilities- Alpha Research: Support the development of signals for rules-based and systematic equity strategies, with a focus on long-only and potential extension to long/short approaches.
- Data Sourcing: Conduct research and acquire new data sources from external vendors, ensuring seamless integration into our existing data management infrastructure.
- Data Management: Collaborate with our Technology team to design and implement data models, pipelines, database designs, and ETL principles, ensuring efficient and accurate data processing.
- Data Quality Assurance: Ensure the accuracy and timeliness of information received and delivered, working closely with our Technology team to implement production code and oversee its execution.
- Portfolio Management: Support portfolio management and work with senior portfolio managers and the trade desk to ensure efficient implementation and delivery of attractive performance track records.
Principal Asset Allocation manages multi-asset, multi-manager portfolios, as well as quantitative and indexed portfolios, to deliver risk-adjusted investment performance that meets our clients' needs. Our clients include institutional and individual investors through our relationships with investment consultants, wealth management platforms, and financial advisors globally.
Requirements- Education: Bachelor's, Master's, or PhD in Statistics, Data Science, Finance, Financial Engineering, Engineering, or Computer Science, with relevant internship or work experience.
- Experience: 3+ years of experience in quant equity selection research, with a strong background in machine learning algorithms and statistical techniques.
- Skills: Solid programming skills in Python and SQL, strong organizational, interpersonal, and problem-solving abilities, and the ability to make effective, well-informed decisions in a highly time-sensitive environment.
