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Lead Polypaths Subject Matter Expert

  • Lead Polypaths Subject Matter Expert job type Posted on: Oct 27, 2026
  • Lead Polypaths Subject Matter Expert experience level Stellent IT LLC
  • Lead Polypaths Subject Matter Expert employment type New York, New York
  • Lead Polypaths Subject Matter Expert employment type Onsite
  • Lead Polypaths Subject Matter Expert salary Full-time

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Job Title :

Lead Polypaths Subject Matter Expert

Job Type :

Full-Time

Job Location :

New York New York United States

Remote :

No

Jobcon Logo Job Description :

Lead PolyPaths Subject Matter Expert

New York, New York(Hybrid)

Face2Face Interview

Long Term Contract

JD:

About the Role

  • The Lead PolyPaths SME will provide senior-level expertise and L3 production support for a fixed-income and mortgage risk platform within a Risk Technology / Market Risk IT team.
  • The role focuses on PolyPaths configuration, analytics, batch processing, integrations, complex incident resolution, and mortgage-risk products while supporting the transition from legacy SQL Server and SSIS workflows to Azure Databricks and Python-based solutions.
  • This is a hands-on individual contributor position working with Market Risk, Quant, Front Office, Model Validation, technology teams, and the PolyPaths vendor.

Responsibilities

  • Serve as the senior escalation point for PolyPaths configuration, scenarios, batch processing, integrations, and analytics.
  • Provide hands-on L3 production support by diagnosing complex incidents, identifying root causes, implementing lasting fixes, and protecting critical risk-run deadlines.
  • Support mortgage-risk analytics for agency MBS, CMOs, TBAs, non-agency RMBS, CMBS, and ABS.
  • Work with prepayment and default assumptions, OAS, duration, convexity, key-rate sensitivities, VaR, scenario analysis, stress analysis, and P&L explain.
  • Develop and support production-quality Python automation for PolyPaths batch runs, data processing, data validation, reconciliation, monitoring, and exception reporting.
  • Write and tune advanced SQL queries for trade, position, market-data, and risk-result validation.
  • Maintain and improve enterprise ETL workflows using SQL Server, SSIS, Azure Databricks, PySpark, and SQL.
  • Support the transition from legacy SQL Server and SSIS workflows to Azure Databricks and Python-based workflows.
  • Test software releases and model-assumption changes, and support UAT, change management, and release planning.
  • Maintain runbooks and incident documentation, contribute to post-incident reviews, and share technical knowledge with the team.
  • Work with the PolyPaths vendor on product defects, enhancements, and support cases.
  • Collaborate with Market Risk, Quant, Front Office, Model Validation, and technology teams.

Required Qualifications

  • 5+ years of hands-on PolyPaths experience.
  • Demonstrated mortgage-products experience; relevant mortgage-product knowledge is mandatory.
  • Strong fixed-income risk knowledge, including mortgage analytics, sensitivities, VaR, scenario analysis, stress analysis, and P&L explain.
  • Production-quality Python skills for automation, data processing, and validation.
  • Advanced SQL skills, including complex query development and performance tuning.
  • Enterprise ETL experience with technologies such as SSIS, Informatica, Talend, Azure Data Factory, or DataStage.
  • Practical Databricks experience, including Apache Spark, PySpark, notebooks, and job orchestration.
  • Experience providing L3 support in financial services.
  • Knowledge of incident management, problem management, and change management processes.
  • Experience supporting fixed-income and mortgage-risk products including agency MBS, CMOs, TBAs, non-agency RMBS, CMBS, and ABS.
  • Ability to support PolyPaths configuration, scenarios, batch processing, integrations, analytics, and production troubleshooting.
  • Clear communication skills and sound troubleshooting judgment under time pressure.

Preferred Qualifications

  • Experience with Microsoft Azure or another cloud platform.
  • Experience with Control-M or Airflow.
  • Experience with Git, Azure DevOps, or Jenkins.
  • Experience with Bloomberg, Yield Book, Intex, or Aladdin.
  • Knowledge of regulatory frameworks such as FRTB or CCAR/DFAST.
  • Experience with data lineage and data governance.
  • Experience supporting model-assumption changes, UAT, release planning, and post-incident reviews.

Jobcon Logo Position Details

Posted:

Oct 27, 2026

Reference Number:

52371-6911

Employment:

Full-time

City:

New York

Job Origin:

CIEPAL_ORGANIC_FEED

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Lead PolyPaths Subject Matter Expert

New York, New York(Hybrid)

Face2Face Interview

Long Term Contract

JD:

About the Role

  • The Lead PolyPaths SME will provide senior-level expertise and L3 production support for a fixed-income and mortgage risk platform within a Risk Technology / Market Risk IT team.
  • The role focuses on PolyPaths configuration, analytics, batch processing, integrations, complex incident resolution, and mortgage-risk products while supporting the transition from legacy SQL Server and SSIS workflows to Azure Databricks and Python-based solutions.
  • This is a hands-on individual contributor position working with Market Risk, Quant, Front Office, Model Validation, technology teams, and the PolyPaths vendor.

Responsibilities

  • Serve as the senior escalation point for PolyPaths configuration, scenarios, batch processing, integrations, and analytics.
  • Provide hands-on L3 production support by diagnosing complex incidents, identifying root causes, implementing lasting fixes, and protecting critical risk-run deadlines.
  • Support mortgage-risk analytics for agency MBS, CMOs, TBAs, non-agency RMBS, CMBS, and ABS.
  • Work with prepayment and default assumptions, OAS, duration, convexity, key-rate sensitivities, VaR, scenario analysis, stress analysis, and P&L explain.
  • Develop and support production-quality Python automation for PolyPaths batch runs, data processing, data validation, reconciliation, monitoring, and exception reporting.
  • Write and tune advanced SQL queries for trade, position, market-data, and risk-result validation.
  • Maintain and improve enterprise ETL workflows using SQL Server, SSIS, Azure Databricks, PySpark, and SQL.
  • Support the transition from legacy SQL Server and SSIS workflows to Azure Databricks and Python-based workflows.
  • Test software releases and model-assumption changes, and support UAT, change management, and release planning.
  • Maintain runbooks and incident documentation, contribute to post-incident reviews, and share technical knowledge with the team.
  • Work with the PolyPaths vendor on product defects, enhancements, and support cases.
  • Collaborate with Market Risk, Quant, Front Office, Model Validation, and technology teams.

Required Qualifications

  • 5+ years of hands-on PolyPaths experience.
  • Demonstrated mortgage-products experience; relevant mortgage-product knowledge is mandatory.
  • Strong fixed-income risk knowledge, including mortgage analytics, sensitivities, VaR, scenario analysis, stress analysis, and P&L explain.
  • Production-quality Python skills for automation, data processing, and validation.
  • Advanced SQL skills, including complex query development and performance tuning.
  • Enterprise ETL experience with technologies such as SSIS, Informatica, Talend, Azure Data Factory, or DataStage.
  • Practical Databricks experience, including Apache Spark, PySpark, notebooks, and job orchestration.
  • Experience providing L3 support in financial services.
  • Knowledge of incident management, problem management, and change management processes.
  • Experience supporting fixed-income and mortgage-risk products including agency MBS, CMOs, TBAs, non-agency RMBS, CMBS, and ABS.
  • Ability to support PolyPaths configuration, scenarios, batch processing, integrations, analytics, and production troubleshooting.
  • Clear communication skills and sound troubleshooting judgment under time pressure.

Preferred Qualifications

  • Experience with Microsoft Azure or another cloud platform.
  • Experience with Control-M or Airflow.
  • Experience with Git, Azure DevOps, or Jenkins.
  • Experience with Bloomberg, Yield Book, Intex, or Aladdin.
  • Knowledge of regulatory frameworks such as FRTB or CCAR/DFAST.
  • Experience with data lineage and data governance.
  • Experience supporting model-assumption changes, UAT, release planning, and post-incident reviews.

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