Quantitative Methodologist

Fred Alger & Company • New York, NY

395d • Remote

About The Position

The Quantitative Methodologist at Fred Alger & Company, LLC is responsible for developing predictive models that process large datasets for statistical modeling, aimed at identifying investment opportunities and trends. This role involves ensuring the accuracy of statistical methods, collecting and cleaning data, and presenting analytical results to portfolio managers to support investment decisions. The position allows for a hybrid work model, requiring three days in the New York office and two days of telecommuting each week.

Requirements

• U.S. Master's degree in any quantitative discipline.
• 2 years' experience in building and maintaining mathematical models for financial valuation of investment assets.
• Experience in extrapolating market modeling and data analyses through mathematical techniques.
• Ability to create in-house analysis and valuation tools based on primary and alternative data.
• Experience summarizing research results for portfolio managers through quantitative reports.

Responsibilities

• Develop predictive models to process large amounts of data for statistical modeling.
• Ensure accuracy and applicability of statistical methods and procedures used to obtain data.
• Collect data to describe, predict, or control variables of interest.
• Clean statistical data for analysis.
• Present data results to portfolio managers to inform decisions.
• Structure data warehouse for storage of statistical data.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Securities, Commodity Contracts, and Other Financial Investments and Related Activities
• Education Level: Master's degree