Quantitative Engineer creating scalable analytics solutions for financial services. A role assisting the quantitative strategies business with insights across investment and client-facing teams.
Responsibilities
Collaborate with the Quantitative Strategies team to develop and support analytical systems and tools that serve research, portfolio management, strategies, marketing, and index services
Apply financial business acumen to translate quantitative research and portfolio analytics into actionable investment insights and business strategies
Leverage understanding of investment workflows to design tools that support alpha generation, risk management, and portfolio optimization
Enhance the existing technology infrastructure to make it more robust and scalable
Identify innovative solutions to complex problems and advocate for their implementation by communicating ideas clearly and concisely
Partner with cross-functional teams to understand business priorities and ensure analytics solutions are aligned with organizational goals
Engage with internal stakeholders to gather business requirements and provide timely updates on progress
Requirements
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
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
Flexible and collaborative work culture
Reasonable accommodations for individuals with disabilities
Opportunities for movement within the organization
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