Job Description

We are seeking a Data Scientist to support the design, implementation, and optimization of advanced analytics for a large-scale financial integrity monitoring program. This role will work closely with business and technology teams to develop data-driven solutions that enhance risk identification processes.

Responsibilities:

Data & Analytics

• Leverage analytics tools (e.g., SQL for querying, Tableau or Power BI for visualization, Azure/Databricks for data exploration) to perform business-driven analysis, identify trends, and support decision making.
• Collaborate on technology needs and solutions by specifying business requirements for linking, grouping, and enriching data across multiple sources (internal systems, third-party vendors, etc.).

Risk Modeling & Advanced Analytics

• Develop and maintain risk scoring models for transactions and counterparties using statistical and machine learning techniques.
• Conduct network analysis and anomaly detection to identify suspicious transaction patterns and emerging risks.
• Apply natural language processing techniques to extract insights from unstructured data (e.g., RFI documents, analyst notes).

Stakeholder Partnership

• Serve as a critical bridge between business and technical teams, ensuring that strategic objectives are translated into scalable, data-driven technology solutions that meet compliance, performance, and usability requirements.

Case Management Insights

• Design analytics to support workflow optimization, SLA monitoring, and QA sampling.
• Build and maintain dashboards and reporting tools for operational KPIs, risk trends, and escalation patterns.

Qualifications:

• Bachelor's in Data Science, Statistics, Computer Science, or related field. Master’s or Ph.D. preferred. 
• 5+ years in data science or analytics roles, preferably in financial services, compliance, or risk management.
• Proficiency in data and analytics tools and applications, including SQL, Tableau, Azure/Databricks.
• Proficiency in Python (pandas, scikit-learn, networkx) and familiarity with machine learning, anomaly detection, and graph/network analytics.
• Experience in financial-crimes compliance (FCC), including familiarity with AML, sanctions screening, KYC, and transaction monitoring processes. The ideal candidate understands the key components and operational workflows of strong FCC programs.
• Experience with data visualization (Power BI, Tableau, or similar).
• Knowledge of case management systems and workflow automation preferred.
• Exposure to cloud platforms (Azure, AWS) and API integrations preferred.
• Strong communication skills to translate technical findings into actionable business insights preferred.

Minimum salary: $120,000 | Maximum salary: $140,000

Job Tags

Full time,

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