Data Engineer
, NY, United States
Our client, a high-profile equities investment management firm with over $400B 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
2-5+ 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
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