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Quantitative Engineer
Northern Trust. Collaborate with the Quantitative Strategies team to develop and support analytical systems and tools .
Tech Stack
Tools & technologiesAzurePySparkPythonSQL
About the role
Key responsibilities & impact- Collaborate with the Quantitative Strategies team to develop and support analytical systems and tools
- Apply financial business acumen to translate quantitative research into actionable investment insights
- Leverage understanding of investment workflows to design tools that support alpha generation and risk management
- Enhance the existing technology infrastructure to make it more robust and scalable
- Partner with cross-functional teams to understand business priorities and ensure analytics solutions are aligned
Requirements
What you’ll need- 0–4 years of experience in quantitative analytics, data engineering, or financial modeling
- Proficiency in Python and experience with tools such as Databricks, PySpark, Azure, SQL or Streamlit
- Solid understanding of asset classes, portfolio theory, and investment strategies
- Strong business acumen with the ability to align analytics with investment goals and client needs
- Bachelor's degree in a quantitative field (e.g., Engineering, Mathematics, Finance); CFA or progress toward CFA is a plus.
Benefits
Comp & perks- Flexible and collaborative work culture
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonDatabricksPySparkAzureSQLStreamlitquantitative analyticsdata engineeringfinancial modelingportfolio theory
Soft Skills
business acumencollaborationcommunicationcross-functional teamworkanalytical thinkingproblem-solvingalignment with investment goalsclient needs understandingrisk managementalpha generation
Certifications
Bachelor's degree in EngineeringBachelor's degree in MathematicsBachelor's degree in FinanceCFAprogress toward CFA