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Data Analyst

Job in New York City, Richmond County, New York, USA
Listing for: Georgia IT, Inc.
Full Time position
Listed on 2026-08-18
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering
Job Description & How to Apply Below

Data Analyst

Location:

NY / GA – Hybrid (F2F interview is required)

Employment Type:

Contract

US Citizen, Green Card, TN, GC EAD and H4 EAD only. No third-party agencies corp to corp.

Data Role - Python, Pyspark, C++, Snowflake, Data Bricks, SDLC

Position

Description:

Implement mortgage risk models, written by Client Strats in Python, into C++. Supporting model run in various environments (ie: QA, UAT and PROD). Work with WM Strats to fully understand the models, and develop GUI around the models. Familiarity with risk modeling and simulation modeling.

Required Skills:

  • 7+ years of C++ development experience
  • Strong Python experience (Python, PySpark)
  • Strong database experience (SQL, Databricks and Snowflake)
  • Grid computing technologies
  • Technical background in integration, development, and/or infrastructure
  • Familiar with system architecture to understand how data flows from upstream systems to downstream integration
  • Excellent relationship management, communication, teamwork, and influence skills; ability to operate at senior levels in both written and verbal communications interacting professionally with a diverse group, executives, managers, and subject matter experts
  • Excellent communication, organization, facilitation and analytical skills, attention to details and ability to multi task
  • Exposure to overall SDLC process, technology frameworks and tools (ex: Jira, Client Quality Center, etc.). Highly versed in various development methodologies, including waterfall and agile software development lifecycle
  • Self-motivated and can work independently as well as in a team environment
  • Ability to effectively prioritize and execute tasks in a high-pressure environment is crucial

Skills Desired:

  • Previous experience in the financial services field, with emphasis on Market Risk area
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