About the role

  • 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
  • Access to senior leaders

Job title

Quantitative Engineer

Job type

Experience level

Junior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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