Franklin Templeton

Quantitative Research Analyst

Franklin Templeton

full-time

Posted on:

Location Type: Hybrid

Location: Stamford • Connecticut, New York • 🇺🇸 United States

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Salary

💰 $110,000 - $130,000 per year

Job Level

JuniorMid-Level

Tech Stack

JavaPythonSQL

About the role

  • conduct investment research: projects will involve running simulations of investment strategies to determine after-tax effects
  • run large-scale simulations and backtests to assess strategy efficacy and after-tax implications
  • interact with robust data pipelines and APIs using C#, Python, and SQL, ensuring data quality, reproducibility, and efficient computation
  • support integration of research outputs into production portfolio management systems used by PMs and traders
  • interface directly with portfolio managers, risk teams, and technology groups to communicate model results, limitations, and implementation details
  • apply statistical and machine learning methods (e.g., regression, optimization, NLP, feature engineering) to generate, validate, and enhance alpha factors

Requirements

  • Degree in Computer Science, Statistics, Math, Engineering, Physics, or Quantitative Finance
  • Master’s or Ph.D. preferred for deeper specialization in quantitative methods, data science, or optimization
  • 2-5 years of relevant experience in quantitative research, financial data engineering, or software development for investment applications
  • Strong proficiency in C# (or Java), Python, and SQL for data analysis, modeling, and production code
  • Experience with object-oriented programming and modular system design in a collaborative environment (Visual Studio, Git)
  • Deep understanding of relational databases, schema design, and query optimization
  • Expertise in statistical modeling, time-series analysis, feature engineering, and machine learning applications for finance
  • Knowledge of portfolio optimization, risk modeling, and factor-based investing
  • Familiarity with convex optimization, quadratic programming, and constrained portfolio problems
  • Excellent communication skills — able to explain complex quantitative concepts to both technical and non-technical audiences
  • Highly organized, detail-oriented, and comfortable managing multiple concurrent research projects
Benefits
  • competitive and valuable range of total rewards
  • annual discretionary bonus
  • 401(k) plan with a generous match
  • recognition rewards
  • comprehensive benefits package
  • range of competitive healthcare options
  • insurance
  • disability benefits
  • employee stock investment program
  • learning resources
  • career development programs
  • reimbursement for certain education expenses
  • paid time off (vacation / holidays / sick / leave / parental & caregiving leave / bereavement / volunteering / floating holidays)
  • motivational wellbeing program

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
C#PythonSQLstatistical modelingtime-series analysisfeature engineeringmachine learningobject-oriented programmingmodular system designportfolio optimization
Soft skills
communication skillsorganizational skillsdetail-orientedability to manage multiple projects
Certifications
Master’s degreePh.D.