Our client, a high-profile equities investment management firm with over $4B in AUM with offices in San Francisco, NYC, Shanghai, Hong Kong, Tokyo and London, is hiring!
They are looking for a talented full-time Data Developer/Engineer to work out of their NYC office (hybrid capacity of 4x/week onsite).
The ideal candidate is someone who can apply analytics and quantitative concepts to support investment needs and develop new data and reporting/visualization solutions. This candidate will also work with Risk/Marketing/FA teams on various internal initiatives and projects, including proof-of-concept, prototype, and production solutions.
Much of the coding is done in Python.
Why would you want to work here?
Autonomy. This is a highly visible role. You will work very closely/collaboratively with other teams which include operations, fund accounting, marketing, quant, and others. You have the ability to perform implementations from beginning to end. There is a lot of meaningful opportunity here.
Key Responsibilities:
Apply analytics and quantitative concepts to support investment needs and develop new data and reporting/visualization solutions.
- Work with Risk/Marketing/FA teams with various internal initiatives and projects, including proof-of-concept, prototype and production solutions.
- Develop and maintain programs on source systems, ETL applications, data cleansing functions, systems management functions including load automation, and data acquisition functions among others
Requirements:
- Bachelor’s Degree in a quantitative or computational field such as Statistics, Computer Science or Applied Mathematics
- 5+ years of experience in analytical development and/or data management
- Full-cycle software development knowledge
- Proven track record in hands-on development of analytical solutions
- High level of proficiency in SQL and programming tools (R, Python, MATLAB, VBA, SSRS)
- Experience with PowerBI and MS SharePoint development
- Interested in financial markets
- Familiarity with Bloomberg API/BQL is a plus
- Strong communication skills with the ability to take initiative and work independently
- Timeliness, Consistency, and Accuracy of work is a top priority
- High level of integrity, professionalism and ethical standards