Early-Career Quantitative Investment Associate

Franklin Templeton

Boston (MA)

On-site

USD 80,000 - 120,000

Full time

28 hours ago
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Benefits offered by this job

401(k) plan with match
Health and wellness benefits
Learning and education support
Performance bonus potential

Job summary

Franklin Templeton Investment Solutions in Boston seeks an Investment Associate to execute quantitative projects for multi-asset strategies. You'll develop alpha signals, enhance risk models, and back-end code for MosaiQ. This three-year role requires in-office attendance four days per week.

You will collaborate with senior analysts and portfolio managers, build and validate models, and communicate investment ideas to internal clients. A STEM degree and strong Python/SQL skills are essential.

Qualifications

  • Bachelor’s or Master’s degree in STEM (CS/DS/Physics/Engineering/Math).
  • Proficiency in Python, SQL, and statistical modeling.
  • Interest in markets, investing, and finance.
  • Team player, proactive, able to manage multiple tasks and deadlines.
  • Ability to translate data into written investment recommendations.
  • Finance coursework a plus but not required.

Responsibilities

  • Develop quantitative research and software in Python to support MosaiQ.
  • Collaborate with senior analysts and portfolio managers on the investment process.
  • Build signals and models to enhance asset-class strategies.
  • Create and maintain quantitative financial models and forecasts.
  • Present investment ideas to internal clients and teams.
  • Attend investment meetings to deepen knowledge of strategies.
  • Manage projects and communicate timelines and status clearly.

Skills

Python programming
SQL databases
Statistical modeling
Strong teamwork
Data interpretation

Education

Bachelor’s or Master’s in STEM

Tools

MosaiQ
Python
SQL

Job description

Franklin Templeton Investment Solutions in Boston seeks an Investment Associate to execute quantitative projects for multi-asset strategies. You'll develop alpha signals, enhance risk models, and back-end code for MosaiQ. This three-year role requires in-office attendance four days per week.

You will collaborate with senior analysts and portfolio managers, build and validate models, and communicate investment ideas to internal clients. A STEM degree and strong Python/SQL skills are essential.

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