Data Scientist - Compliance Expertise

September 14

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Smarsh

cloud-based solutions • data-leak prevention • risk-based surveillance • information governance solutions • digital communications compliance

1001 - 5000

💰 Private Equity Round on 2016-01

Description

• Generate insights and create reports on compliance trends and potential risks for internal or customer related datasets • Perform exploratory data analysis on communication data to identify potential compliance risks • Assist in data annotation and quality review for compliance-related datasets • Participate in client/prospect guidance for machine learning model and analytic fine-tuning processes • 50% Exploratory data analysis, data annotations, and compliance review • 30% Data science experiments and model building • 10% Interaction with stakeholders to understand compliance and modeling needs • 10% Reporting and documentation

Requirements

• Demonstrated expertise in adherence to financial regulations and implementing LOD practices in L1, L2 and L3 risk management practices providing compliance through risk assessments. • Knowledge of the rules and regulations of the Securities Exchange Commission (SEC); Financial Industry Regulatory Authority (FINRA); and state securities regulatory agencies • Understanding of statistics and data science principles (hypothesis testing, regression, classification, clustering, etc.) • Excellent verbal and written communication skills • Self-motivated learner with a collaborative mindset • Ability to manage time efficiently and handle multiple priorities

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