Quantitative Capital Allocation

Cooper Fitch; New York (NY); On-site; USD 100,000 - 150,000; Full time

Job summary

A leading finance recruitment firm in New York seeks a Mid-Senior level professional to design and maintain quantitative models for asset valuation and performance attribution. The ideal candidate will collaborate with investment teams, develop algorithms, and manage datasets using strong Python skills. Experience in private markets is preferred. This is a full-time position offering a chance to influence portfolio strategies.

Qualifications

• Prior experience in private markets; public markets experience is also acceptable.
• Strong Python skills for data management.
• Ability to communicate quantitative insights effectively.

Responsibilities

• Design and maintain quantitative models for asset valuation.
• Collaborate with teams for portfolio strategies.
• Develop algorithms for investment with back-testing experience.
• Manage proprietary datasets and market data.

Skills

Python

Quantitative analysis

Data processing

Algorithm development

Job description

Overview

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Responsibilities

• Designing, implementing, and maintaining quantitative models and tools for asset valuation, data processing, and performance attribution.
• Collaborating with investment teams to inform portfolio construction and allocation strategies.
• Developing and productionizing algorithms for investment strategies, with experience in back-testing and stress-testing.
• Leveraging strong Python skills to manage proprietary datasets and market data capture.
• Effectively communicating quantitative insights to non-technical stakeholders.

Preferred background: Prior experience in private markets; public markets experience will also be considered.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Finance
• Industries
• Staffing and Recruiting