Data Engineer
: Job Details :

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
• 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