Data Scientist Manager - Morristown, NJ

Valley National Bank • Morristown, NJ • 6h ago

BackData Scientist Manager#25-637Morristown, New Jersey, United StatesApplyApply for this job now! ApplyJob OverviewData Scientist Manager sought by Valley National Bank d/b/a Valley Bank in Morristown, NJ.Expected Work Hours40Job DescriptionResponsibilities include, but are not limited to:- Lead development and deployment of Data Science projects by advising Data on technical matters and guiding them in problem formulation.- Manage performance and development of Analytics Engineer(s).- Lead the implementation of design, development, deployment, and maintenance of predictive/prescriptive/statistical models for Financial Crimes Compliance.- Initiate and guide studies with the use of descriptive and supervised machine learning methods and advanced statistical methods using innovative and the latest advanced techniques and algorithms.- Establish methodology and procedures for the tuning of the various models, including methodology for above and below the line tuning and sampling.- Conduct the tuning and optimization of the various financial crime models based on the methodology established. Make recommendations to improve financial crime monitoring through the development of new risk models, statistical analysis of model thresholds, and other sensitivity and productivity analyses.- Maintain control and governance documentation evidencing changes and approvals for updates to the financial crime models.- Generate, monitor, and update machine learning models used to identify suspicious activity or enhance productivity. Work with Fraud and AML teams to identify new models to assist in the identification of suspicious behavior or to enhance productivity.- Direct tuning efforts and priorities by measuring and monitoring the success of existing models, including, but not limited to customer risk scoring, transaction monitoring and segmentation models.- Use advanced statistical methods like clustering and regression analysis to ensure appropriate rigor around optimization processes.- Conceptualize and develop new rules/models/scenarios, in coordination with Fraud and AML subject matter experts, to address emerging trends and red flags.- Ensure sound risk coverage, adequate quantitative model assessment and validation, and data quality completeness and integrity.- Develop data-driven insights and communicate these effectively to management and diverse stakeholders, including management and regulators, using visualization techniques to showcase the results of analysis in concise presentations.- Support the Financial Crimes Group's periodic risk assessments through the analysis of data elements related to potential indicators of customer, product, or geographic risk, evaluating and enhancing the Group's risk rating methodologies, and identifying new quantitative factors that can be incorporated into the risk assessment process.- Support Model Risk Management's model validation efforts to ensure models are performing as intended.- Conduct ad hoc analyses for FCC, company leadership and business partners, as needed.RequirementsRequired Skills:- Must have the ability to handle large data sets.- Must be proficient in SQL.Have experience using statistical packages for research/modeling, such as R or Python.- Experience working with AML transaction monitoring systems. Such as Actimize, Mantas, Verafin.- Have understanding of machine learning.- Proficiency with Visual Basic Script within Microsoft Excel.- Basic familiarity with AML model tuning and testing processes.- Possess the ability to explain technical results in plain language to laymen in clear and straightforward fashion.- Have experience defending a statistical approach and set of assumptions from regulator and audit inquiries.- Have excellent written and verbal communications skills, attention to detail and strong time management skills.- Possess strong analytical thinking and critical reasoning skills.- Have excellent interpers

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