Nasdaq Calypso ERS Module Engineer (Enterprise Risk Service)

Charlotte, NC, US • Posted 2 days ago • Updated 2 days ago
Contract W2
Contract Independent
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Business Intelligence
  • Capital Market
  • Cloud Computing
  • Extract, Transform, Load
  • Regulatory Compliance
  • Reporting
  • Migration
  • Oracle
  • Python
  • RDBMS
  • Linux
  • Machine Learning (ML)
  • Microsoft Azure
  • Data Migration
  • Distributed Computing
  • Valuation
  • Java
  • SQL
  • Shell
  • Treasury
  • Unix
  • Amazon Web Services
  • Artificial Intelligence
  • Calypso

Summary

Nasdaq Calypso ERS Module Engineer (Enterprise Risk Service)
Location: Charolette, NC - Pheonix, AZ - Johnston, RI
Duration: Longterm
 
 
Required Skills
  • Strong hands-on experience with Nasdaq Calypso platform
  • Deep knowledge of ERS (Enterprise Risk Service) module
  • Experience with risk configuration and calculation frameworks
  • Strong understanding of trade lifecycle and valuation concepts
  • Expertise in:
    • Value-at-Risk (VaR)
    • Stress Testing
    • Sensitivity Analysis
    • Credit Risk & Exposure Calculations
  • Strong understanding of capital markets and treasury products including:
    • Fixed Income
    • FX
    • Derivatives
    • Commodities
  • Strong experience in data migration and data validation
  • Experience with report migration and custom risk report development
  • Strong SQL / Oracle / relational database experience
  • Experience working in Unix/Linux environments
  • Experience with reporting tools and frameworks within Calypso
  • Scripting/programming experience using Java, Python, or Shell scripting
Preferred Skills
  • Experience with ERS Limits module configuration and compliance catalogs
  • Exposure to XVA and advanced risk methodologies
  • Experience with distributed computing and high-performance risk engines
  • Knowledge of AI/ML-driven risk acceleration techniques
  • Experience with AWS or Azure cloud platforms
  • Understanding of ETL pipelines and data warehousing
  • Experience with BI reporting tools and dashboards
  • Experience in enterprise risk transformation initiatives
 
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91008924
  • Position Id: 8978912
  • Posted 2 days ago
Contact the job poster
LC

Leena Chakka

Recruiter @ INGENworks
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