dentsu · 8 hours ago

Senior Manager, Data Scientist

New York, United States

Full-time

Remote

Mid, Senior Level

$94K/yr - $152K/yr

4+ years exp

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Responsibilities

You will work with a financial services client on risk and anti-money laundering analytics.

You will design and develop transaction monitoring scenarios.

You will improve segmentation for the scenarios/models using techniques such as clustering.

You will execute periodic tuning for the threshold parameters of the scenarios through sample collection.

You will develop post processing models to reduce the number of false positives generated by the scenarios using techniques such as rare event logistic regression and machine learning algorithms.

You will develop post processing models that incorporate Natural Language Processing techniques to reduce the number of false positives.

You will implement models.

You will develop and execute ongoing monitoring plan to monitor the performance of the models.

You will document of the model development, especially the implementation process.

You will support model validation activities.

Ad hoc analysis to address requests from partners.

You will report to Senior Director, Analytics.

Qualification

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StatisticsData SciencePythonRSASSQLAnti-money launderingMachine LearningWeb ScrapingCDSWClassification ModelsSoftware DevelopmentDeploymentData SourcingData Management

Required

Bachelor's degree in Statistics, Data Science, Operations Research, Industrial Engineering, Mathematics, or Physics, AND six (6) years related experience.

Master's degree in Statistics, Data Science, Operations Research, Industrial Engineering, Mathematics, or Physics, AND four (4) years related experience.

OR PhD degree in Statistics, Operations Research, Industrial Engineering, Mathematics, or Physics, AND two (2) years related experience.

Anti-money laundering related data science/ML experience in the Banking domain.

High proficiency with Python, R, SAS, and SQL.

Advanced data sourcing and management skills.

Enhanced experience with web scraping.

Knowledge and experience with CDSW (Cloudera Data Science Platform) platform.

Experience with software development, especially deployment.

Experience with classification models.