Data Migration Consultant

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Migration Consultant with a contract length of "unknown" and a pay rate of "unknown." Located in NYC (hybrid), it requires 5-10 years in data migration, proficiency in SQL and ETL tools, and a background in capital markets or Murex.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 6, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
New York, United States
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🧠 - Skills detailed
#Matlab #Model Validation #Programming #R #Strategy #"ETL (Extract #Transform #Load)" #Migration #Python #SQL (Structured Query Language) #Data Migration #Data Quality #Documentation
Role description
Job Description: Role: Data Migration Consultant/Quantitative Validation Expert Location: NYC, NY/hybrid Type: Contract Data Migration Consultant Responsibilities: β€’ Designs and executes data migration strategy from legacy systems to Murex. β€’ Handles ETL for trade data, static data (counterparties, books), and historical market data. β€’ Works with stakeholders to define mapping rules, transformation logic, and reconciliation methods. Required Skills/Experience: β€’ 5–10 years in data migration projects (ideally in capital markets or Murex). β€’ Proficiency in SQL, ETL tools, and data quality frameworks. β€’ Strong understanding of trading data schemas and reference data. Model Validation Analyst / Quantitative Validation Expert (2) β€’ Purpose: Validates front-office pricing models and risk analytics (e.g., PV, Greeks, XVA). β€’ Key Responsibilities: β€’ Independently verify the theoretical soundness and numerical accuracy of IRD/CRD pricing models implemented in Murex. β€’ Perform benchmark testing against in-house models, spreadsheets, or vendor tools. β€’ Review model documentation and work with quants/front office to ensure model transparency and regulatory alignment. β€’ Validate calibration techniques (e.g., yield curves, volatility surfaces, CDS spreads). β€’ Assist in model governance and sign-off process (may involve internal Model Risk Management (MRM) teams). β€’ Skills: β€’ Strong quantitative finance background (PhD/master’s level preferred). β€’ Familiarity with Murex model architecture (or APIs if access is granted). β€’ Programming in Python, R, or MATLAB. β€’ Deep understanding of risk-neutral pricing, stochastic models, and numerical methods (e.g., Monte Carlo, PDEs).