Data Science Manager: Financial Crime ML & MLOps — Remote

Valley National Bank; Morristown (NJ); Hybrid; USD 110,000 - 170,000; Full time

Job summary

Valley National Bank seeks a skilled professional to develop and maintain financial crime models and tune thresholds through rigorous statistical analysis. You will build and refine machine learning models, monitor performance with MLOps practices, and craft monthly risk metrics.

You will also create Power BI dashboards for stakeholders and coordinate with teams to ensure compliance and actionable insight. Remote work up to two days weekly and 10% travel are expected.

Qualifications

• Experience building financial crime models and performing model tuning.
• Strong statistical analysis skills and data-driven decision making.
• Familiarity with MLOps practices and model monitoring.

Responsibilities

• Develop and maintain financial crime models used in compliance.
• Tune model thresholds based on statistical analysis and testing.
• Lead ongoing risk assessments and produce monthly metrics.
• Design and deploy Power BI dashboards for stakeholders.

Skills

Statistical analysis

Machine learning

MLOps

Data analysis

Tools

Power BI

Python

SQL

Job description

Valley National Bank seeks a skilled professional to develop and maintain financial crime models and tune thresholds through rigorous statistical analysis. You will build and refine machine learning models, monitor performance with MLOps practices, and craft monthly risk metrics.

You will also create Power BI dashboards for stakeholders and coordinate with teams to ensure compliance and actionable insight. Remote work up to two days weekly and 10% travel are expected.