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Data Scientist Manager
#25-637
Morristown, New Jersey, United States Apply
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Job Overview
Data Scientist Manager sought by Valley National Bank d/b/a Valley Bank in Morristown, NJ. Job Description
Responsibilities 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.
Requirements
Required 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 interpersonal skills and ability to work effectively with colleagues across regions and Business Units.
- Have the ability to effectively handle a fast-paced environment and successfully meet established deadline requirements.
- Be self-motivated and must have the ability to work independently.
Required Experience:
- Bachelor's degree and a minimum of 5 years in complex crime (AML and Fraud) data analysis and statistical tools.
Preferred Experience:
- Master's degree in quantitative discipline Experience with financial crimes transaction monitoring platforms, such as Actimize, Mantas or Verafin and experience with machine learning platforms, such as DataRobot.
Location(s).
70 Speedwell Ave,
Morristown
,
New Jersey
07960
, United States Total Rewards Summary
We provide a comprehensive and competitive total rewards package including base salary determined by factors such as the role, relevant experience, skill set, and geographical location. Eligible positions may also be eligible to receive commission-based compensation and/or discretionary incentive compensation, which may be awarded as cash or forfeitable equity, recognizing individual performance and contributions.
In addition to financial compensation, we offer a robust suite of benefits tailored to meet diverse employee needs based on eligibility criteria. These include comprehensive health care and insurance plans, retirement savings options, tuition and adoption reimbursement programs, paid time off, mental health support, and other valuable benefits programs. Further details regarding total compensation and benefits will be shared during the hiring process.
Job Details
Pay Range Pay Range
The estimated pay range for this job. Disclosing pay information promotes competitive and equitable pay.
The actual pay rate will depend on the person's qualifications and experience.
$96,000.00 - $167,700.00 / year Pay Transparency
In order to support the Fair Compensation Strategy by the US Govt., HR Dept., clients are required to adhere to "Pay Transparency Law"; in the impacted states; that have mandated the employers to list the salary ranges in Job advertisements or postings for job opportunities and Job promotions. |
Valley National Bank
$96,000.00 - $167,700.00 / yr
paid time off
Aug 19, 2025