Description
Key Skills: Python, R, Machine Learning, Data Science, Risk Management, Control Testing, AI/ML, Generative AI, Statistical Analysis, Data Analytics
Good to Have Skills: Experience with LLMs and GenAI, advanced analytics including regression, classification, clustering, and dimensionality reduction. Proficiency with Alteryx, Power BI, Tableau, and workflow/RPA platforms. Knowledge of APIs integration, data governance, lineage tracking, and regulatory compliance. Experience with RAG and prompt engineering for document parsing and policy mapping.
Roles & Responsibilities:
- Lead strategic control testing engagements using analytics to surface gaps and BAU breaks while driving actionable remediation.
- Build and productionize AI/ML solutions including classification, anomaly detection, risk scoring, and entity resolution along with GenAI workflows.
- Automate end-to-end testing and control processes using Alteryx, Power BI/Tableau, and various workflow/RPA platforms.
- Operationalize proactive alerts and dashboards for KRIs and regulatory priorities to enhance monitoring capabilities.
- Partner with WKO, DDS, Controls, Operations, Technology, and Data teams to define requirements and ensure explainability.
- Maintain high-quality reporting and executive summaries on trends, systemic issues, and control weaknesses for stakeholders.
- Design statistical tests and ML-based monitors for policy, legal, and regulatory compliance aligned to audit governance.
- Build pipelines to ingest, profile, cleanse, and join large datasets from systems of record for repeatable analytics.
- Apply LLMs/GenAI for document parsing, policy mapping, and exception narrative synthesis using RAG and prompt engineering.
- Translate KYC/CO&D requirements into measurable tests and rules while tuning to reduce false positives for audits.
Experience Required: 6+ years in risk management/financial services across compliance, financial crimes, operational risk, audit, or BPM with automation/modeling exposure.
Education: Bachelor's or advanced degree in a quantitative field such as Computer Science, Statistics, Engineering, or Data Science