Junior Quant Developer

Franklin Templeton•New York, NY

6d•$105,000 - $120,000•Hybrid

About The Position

O’Shaughnessy Asset Management (OSAM), part of Franklin Templeton, is a quantitative investment firm that builds disciplined, transparent investment solutions for institutions and financial advisors. The Quant Technology team partners closely with researchers, portfolio managers, and developers to power data-driven investment strategies using modern platforms like CANVAS®. Team members collaborate in a highly technical, research-focused environment and gain exposure to cutting-edge portfolio construction, analytics, and financial technology.

Requirements

Bachelor’s degree in computer science or related field of study.
Solid computer science fundamentals
Knowledge of data structures and algorithms
0-1 years of prior professional programming experience
C#, Python, and SQL scripting experience (SQL Server)
Working knowledge developing in MS Visual Studio (or VS Community editions)
Familiarity with proper source control practices (Git preferred)
Excellent communication skills to be able to interact with a wide range of users ranging from very technical (quants) to non-technical
Strong analytical skillset with demonstrated attention to detail
Quick learner with the ability to adapt quickly and work in a dynamic environment

Nice To Haves

Experience working in a financial services company, ideally in asset management
Experience working in a front office environment with researchers and portfolio managers
Advanced degree a plus
Familiarity with financial markets
Experience with DevOps practices, including CI/CD, and infrastructure-as-code
Working knowledge developing with Azure technologies

Responsibilities

Work directly with senior developers and research group to integrate and optimize research data processes and models
Design and develop in C#/Python/SQL in a stable and scalable manner.
Build robust data pipelines from many sources of varied levels of data quality, supporting both research demands, ad-hoc client analytic requests, and the core production applications.
Work with researchers, portfolio managers, and quants to implement, support, and run portfolio models.

Benefits

annual discretionary bonus
401(k) plan with a generous match
recognition rewards
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