O’Shaughnessy Asset Management (OSAM) is owned by Franklin Templeton, a diversified firm that spans asset management, wealth management, and fintech, giving us many ways to help investors make progress toward their goals. With clients in over 150 countries and offices on six continents, you’ll get exposed to different cultures, people, and business development happening around the world.

O’Shaughnessy Asset Management is a research and money management firm based in Stamford, Connecticut operating autonomously and backed with global, enterprise resources. Their approach to managing money is transparent, logical, and completely disciplined, leading to long‐standing relationships with clients. OSAM is a leading provider of Custom Indexing services via its Canvas® platform which offers financial advisors an unprecedented level of control and ease in creating and managing personalized separately managed accounts (SMAs) that target improved after-tax outcomes.

For more firm information, please visit www.osam.com

This is a HYBRID position (three days in office) in our New York, NY office.

We are unable to offer visa sponsorship/transfer for this position.

What is the Jr. Quant Developer - C#, SQL & Python - responsible for?

OSAM is hiring a Jr. Quantitative Developer/Software Developer to join our Quant Technology team. The ideal candidate will have solid computer science fundamentals, a demonstrated passion for solving problems with technology, and possess strong programming experience. This position is a hands-on role responsible for developing, supporting, and maintaining firmwide research, investment, risk, performance, and trading data-rich platform supported by applications, APIs, and visualization tools. This is an excellent opportunity for candidates with a strong technical background and excellent communication skills to interface directly with OSAM’s research team.

What are the ongoing responsibilities of a Jr. Quant Developer – C#, SQL & Python?

• 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

What ideal qualifications, skills and experience would help someone to be successful? 

• Bachelor’s degree in computer science / related field of study; advanced degree a +

• Solid computer science fundamentals

• Knowledge of data structures and algorithms

• 0-1 years of prior professional programming experience

• 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

• Familiarity with financial markets

• Experience working in a financial services company, ideally in asset management

• Experience working in a front office environment with researchers and portfolio managers

What technology skill sets are critical to the success of this role?

• 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)

• Experience with DevOps practices, including CI/CD, and infrastructure-as-code

• Working knowledge developing with Azure technologies

Franklin Templeton offers employees a competitive and valuable range of total rewards—monetary and non-monetary—designed to support the whole person and to recognize their time, talents, and results. Along with base compensation, other compensation is offered such as a discretionary bonus, 401k plan, health insurance, and other perks. There are several factors taken into consideration in making compensation decisions including but not limited to location, job-related knowledge, skills, and experience. At Franklin Templeton, we apply a total reward ph