Senior Data Scientist - Banking Compliance & Risk Analytics

Devsinc; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

Devsinc is seeking an experienced Data Scientist – Compliance (Banking) to design, validate, and deploy advanced analytics and ML solutions for regulatory compliance, AML/KYC, and risk management within a banking environment.

The role emphasizes explainable, audit-ready models that meet regulatory expectations and business objectives, with collaboration across Compliance, Risk, Technology, and Data Engineering teams.

Qualifications

• Bachelor's or Master's in a quantitative field such as data science, statistics, CS, or engineering.
• 6–8+ years of experience in data science or ML within Banking/Financial Services.
• Proficiency in Python and SQL with ML libraries such as scikit-learn, XGBoost, PyTorch and/or TensorFlow.

Responsibilities

• Design, validate, and deploy ML models for compliance, AML/KYC, and risk management.
• Develop monitoring, explainability, and audit-ready documentation.
• Collaborate with Compliance, Risk, and Technology teams to translate requirements.
• Stay current with regulatory requirements and ML governance standards.

Skills

Python

SQL

scikit-learn

XGBoost

PyTorch

TensorFlow

Education

Bachelor/Master in Quantitative

Job description

Devsinc is seeking an experienced Data Scientist – Compliance (Banking) to design, validate, and deploy advanced analytics and ML solutions for regulatory compliance, AML/KYC, and risk management within a banking environment.

The role emphasizes explainable, audit-ready models that meet regulatory expectations and business objectives, with collaboration across Compliance, Risk, Technology, and Data Engineering teams.