Quantitative Analyst

Purpose of the role

The Investment Risk team at Numeric acts as the ‘second line of defense’ for the investment process at Numeric, which systematically manages assets for both equity and fixed income strategies.  With exploding volumes of data, increased customization of client portfolios, and ever-increasing nuance and complexity in how Numeric is seeking to maximize expected return and minimize expected risk, the need to scale our approach to better identify and prioritize risks that warrant close human attention has never been more apparent.

In order to provide the highest value to Numeric, the Investment Risk team engages in the following activities:

• Thinking critically about the investment process in order to provide an independent perspective about what risks are being taken in Numeric portfolios - and communicating insights that may potentially result in enhancements to the investment process in the form of sharper systematic decision making.
• Frequent interaction with the Investment Committee, regular meetings with the various investment teams, and ongoing discourse with Portfolio Managers and Researchers.
• Ongoing care and feeding of the Ultraverse - an internal platform for proprietary risk analytics, designed for the purpose of statistically analyzing the Numeric investment process and the reward to risk trade-offs being made in both signals and portfolios.

We are looking for a person with a strong computational/statistical modeling mindset, a knack for pattern recognition, and a formidable analytical toolkit to join the Numeric Investment Risk team in Boston in the role of Quantitative Analyst, Risk.

The role will report to the Numeric Head of Investment Risk.

In this role, you will:

• Maintain and evolve our Python-based analytics pipeline used daily to assess portfolio risk, factor exposures, and signal behavior
• Support stakeholder needs with thoughtful delivery of scheduled reports, board materials, attestations, and ad hoc analyses—with a strong push to automate wherever possible
• Leverage our world-class GenAI platform and centralized compute resources to accelerate throughput and reduce manual workflows
• Collaborate with central technology, investment teams, and various risk stakeholders—building relationships while staying focused on delivery of whatever gets the job done

Build tools that affords faster insight generation, including:

• Portfolio evaluation dashboards
• Risk decomposition utilities
• Interactive visualization platforms
• Web based analytics

You’ll Thrive in This Role If You...

• Have a background in Computer Science, Applied Math, Engineering, Physics, or similar
• Can write clean, modular Python and are comfortable with pandas, NumPy, file I/O, and automation
• Know how to use git and navigate a Linux/bash environment with confidence
• Love building systems that scale your own thinking
• Enjoy delivering real value quickly—and improving processes over time
• Can balance delivery of recurring tasks with ongoing project work
• Possess an intrinsic drive and an appetite for learning

The following attributes are a must:

• Interest in the ‘why’ behind the investment strategies.
• Strong communication skills – with both humans and machines.
• Ability to decompose large problems into multiple smaller ones.
• Excellent grasp of matrix algebra.
• Positive attitude.
• Growth mindset.
• Unbridled curiosity.
• Willingness to use cutting-edge AI tools.