Data Engineer/Developer

Overview

On Site
Hybrid
$120,000 - $160,000
Full Time
No Travel Required

Skills

Computer Science
ETL
MATLAB
PowerBI
Python
R
SSRS
VBA
communication skills
data acquisition
fund accounting
systems management
take initiative
data developer
data engineer
pandas
flask
quant
quantitative
analytics
risk
sql
data
data warehouse
database
SSIS
reporting
visualization
dashboard
sharepoint
financial
sql server
data governance
scalable
architecture
engineering
engineer
architect
workflow
data strategy
DBA
DW
DAX
excel
powershell
tableau
Power BI
C#
Java
Regex
Alteryx
Azure
power query
T-SQL

Job Details

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
  • 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

About The Atlantic Group