Intermediate Quantitative Analyst

Ameriprise Financial Services, LLC

. Contribute to research projects spanning idea generation, data preparation, statistical analysis, and actionable recommendations .

Posted 10/16/2026full-timeBoston • Massachusetts • United StatesMid-LevelSenior💰 $140,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantitative investment research, including statistical modeling, econometric analysis, and machine learning techniques applied to financial datasets. Proficient in developing and implementing alpha models and portfolio construction methodologies while effectively communicating insights to diverse stakeholders.

Highest-signal resume keywords

Quantitative Investment ResearchStatistical ModelingMachine LearningPython ProgrammingCFA Charterholder

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisEconometric AnalysisAlpha Model DevelopmentPortfolio ConstructionData PreparationFactor InvestingSignal ExtractionPerformance MonitoringResearch Project OwnershipFinancial Dataset Analysis

Soft Skills

Intellectual CuriosityProblem-SolvingCritical ThinkingCommunication SkillsCollaboration

Tools & Technologies

Analytics PlatformsResearch Infrastructure

Certifications & Qualifications

CFA Charterholder

Industry Keywords

Equity MarketsInvestment ProblemsDue DiligencePerformance InsightsQuantitative Investing

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Contribute to research projects spanning idea generation, data preparation, statistical analysis, and actionable recommendations
Evaluate innovative techniques for extracting tradable signals from large datasets
Develop alpha models and refine portfolio construction methodologies
Implement and maintain the team's models in production
Enhance the team's research infrastructure and analytics platforms
Monitor and analyze factor and model performance
Conduct due diligence on model output
Collaborate with portfolio managers and fundamental analysts across the firm
Exchange ideas, share regular performance insights, and respond to inquiries
Present research findings to key stakeholders
Develop thought leadership content

Requirements

What you’ll need

Bachelor's degree in Mathematics, Statistics, Finance, Economics, or a related field
Minimum 3 years of direct experience in quantitative investment research, including hands-on development and testing of stock selection signals or alpha models
Solid grasp of equity markets, factor investing, and portfolio construction
Strong intellectual curiosity
Deep knowledge of statistical modeling, econometric analysis, and machine learning
Demonstrated ability to apply statistical, econometric, and machine learning techniques to investment problems
Strong programming proficiency in Python, R, or similar languages
Experience working with large financial datasets
Advanced problem-solving and critical thinking skills
Excellent written and verbal communication skills
Ability to explain technical concepts clearly to both quantitative and fundamental audiences
Self-directed, with a track record of owning research projects from initial idea through production
High standards of professionalism and reliability
Keen attention to detail and consistent delivery of accurate work on schedule
Collaborative working style and strong interest in building a long-term career in quantitative investing
Valid work authorization that does not now, or in the future, require visa sponsorship for employment in the United States
CFA charterholder or candidate preferred

Benefits

Comp & perks

Variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role
Vacation time
Sick time
401(k)
Health insurance
Dental insurance
Life insurance
Flexible work from home one (1) day per week
Reasonable accommodation support during recruitment and interviews