Position Details

Type Internship

Experience intern

Exp. Years Not specified

Education Bachelor's/Master's degree in Finance, Financial Engineering, Computer Science, Applied Mathematics, or a related field

Category Data & Analytics

About this role

This internship is for a Quantitative Equity Analyst Intern on the Diversified Equity team, supporting portfolio managers and quantitative analysts under supervision. The intern will work with large financial datasets, quantitative investment models, and backtesting to support research, risk management, and portfolio optimization.

Key Responsibilities

Data integration and validation
Testing of various quantitative tools under development
Factor, model, and quantitative strategy backtesting and evaluation
Portfolio risk management and optimization
Ad-hoc research projects

Technical Overview

The intern will perform data integration and validation, test quantitative tools, and execute factor-model and quantitative-strategy backtesting and evaluation. The work includes portfolio risk management and optimization, using financial datasets (e.g., CRSP, Compustat, Clarifi) and coding for data analysis in Python, SQL, or R.

Ideal Candidate

The ideal candidate is a post-grad graduate student in a quantitative finance program available for immediate start and a full-time, three-month internship in Philadelphia. They have strong quantitative finance knowledge (portfolio theory and risk management) and proficiency in Python, SQL, or R for data analysis and backtesting, with experience using financial datasets such as CRSP, Compustat, or Clarifi.

Must-Have Skills

pursuing or recently completed a degree (Bachelor's/Master's) in FinanceFinancial EngineeringComputer ScienceApplied Mathematicsor a related fieldproficiency in PythonSQLor R for data analysis and backtestingStrong knowledge of quantitative financeportfolio theoryand risk management

Nice-to-Have Skills

Experience with financial datasets is a plus (e.g.CRSPCompustatClarifi)

Tools & Platforms

CRSPCompustatClarifiPythonSQLR

Required Skills

Data integration and validationtesting of quantitative toolsfactor modelquantitative strategy backtestingportfolio risk managementportfolio optimization techniquesad-hoc research projectsfinancial datasetsCRSPCompustatClarifiPythonSQLRdata analysisbacktestingportfolio theoryrisk managementattention to detailindependent workteam collaboration

Hard Skills

Data integration and validationtesting of quantitative toolsFactor modelquantitative strategy backtestingportfolio risk managementportfolio optimization techniquesportfolio optimizationad-hoc research projectsfinancial datasetsfinancial databasesCRSPCompustatClarifiPythonSQLRdata analysisbacktestingportfolio theoryrisk managementportfolio optimization techniquesFamiliarity with factor models and backtesting methodologies

Soft Skills

strong analytical and problem-solving skillsattention to detailability to work independentlycollaboration within a team environment

Industry & Role

Industry Fintech

Job Function Perform quantitative research and backtesting to support equity portfolio risk management and optimization.

Role Subtype Data Analyst Intern

Tech Domains Python, SQL / PostgreSQL

Keywords for Your Resume

Quantitative Equity Analyst InternQuantitative Equity Analyst Intern - Post-GradDiversified Equityportfolio managersinvestment technology managerquantitative analystsdata integrationdata validationfactor modelsquantitative strategy backtestingportfolio risk managementportfolio optimizationportfolio theoryrisk managementCRSPCompustatClarifiPythonSQLRfinancial datasetsad-hoc research projects

Deal Breakers

Must be able to commute into the Philadelphia, PA office each week, at least 3 times per week, Must be pursuing or recently completed a Bachelor's/Master's in Finance, Financial Engineering, Computer Science, Applied Mathematics, or a related field, Must have proficiency in Python, SQL, or R for data analysis and backtesting

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