FCC Data Tunning Specialist - Morristown, NJ

FCC Data Tunning Specialist

Multiple Locations.

At Valley Bank, we believe in people's growth potential. We invest in it. We protect it. We focus it. For nearly 100 years, we've been the Bank that clients from every industry turn to for our expertise, strategies, and advice--building the kind of trust that can fuel every goal. We are the leading relationship bank built for growth--with over $60 billion in assets, 3,800 experts, and more than 200 consumer branches and commercial banking offices in communities across the US.

At Valley, we're all driven by an ambition that goes deeper than just having a job. That's why when you work for us, we make it our goal to help you focus on what drives you--working to turn your passions and strengths into assets you can use to propel your ambitions and build the professional legacy you want. Because when we say we're a relationship bank built for growth, that's not just reserved for our clients--that includes all our associates as well.

The Financial Crimes Compliance (FCC) Technology Software Engineer will be mainly responsible for supporting Actimize solutions and platforms including patch installation, solution enhancements and upgrades in Non-Prod environment, implementation of new modules, models, custom processes, etc. In addition, this position will also be primarily responsible for performing model tuning and analysis for both Anti-Money Laundering and Customer Risk Rating models.

40

Responsibilities include but are not limited to:

• Implement and test Actimize related patches applicable to SAM, CDD, CTR, AIS and/or Act One in Non-Prod environment
• Perform Actimize customizations by developing new AIS process, SQL Stored Procedures, Java plugins, SAM XML rule configuration, Act One Designer configuration, etc.
• Develop functional and technical requirements to be reviewed by FCC business and technology stakeholders
• Develop data requirements for new models and external alert ingestion processes
  Implement new FCC solutions supporting AML, OFAC and Fraud
• Work with other technology teams across the enterprise to ensure common direction and compliance
• Research and provide guidance on new and emerging technologies and architectural standards focusing on model tuning and optimization of Actimize models
• Support FCC director/manager in all aspects of application design, development, implementation and maintenance of Actimize solutions and other FCC applications
• Utilize a thorough understanding of available technology, tools, and existing designs to recommend process enhancements.
• Perform data analysis required for segmentation and model tuning of Anti-Money Laundering and Customer Risk Rating models. This includes below and above the line threshold analysis and generation of sample alerts for investigation review

• Advance knowledge on implementation of Actimize AIS 4.x, Act One 6.x, 10.x, SAM 10.x, CDD 10.x, CTR 3.x platform and solutions. Experience various Fraud and List Screening solutions is a plus.
• Knowledge of automated scheduling tools such as Control‑M or Task Scheduler
• Have working experience in programming using Java/J2EE and Python
• Candidate must be well knowledgeable both technical and business side Actimize AML solutions and process (E.g. Database components, AIS Components, user investigation process or workflow, etc.)

• Bachelor's degree in computer science, Engineering, Information Technology, or related technical field, and minimum 5 years of experience working in financial service industry in the breadth of Anti‑Money Laundering, Currency Transaction Reporting, Name/Message Screening and Fraud.
• Must have a minimum of 3 years' experience in executing various phases of end-to-end Actimize SAM, CDD, and CTR Solution implementation that includes business requirements gathering, technical design definition, solution installation and upgrade, configuration, test case creation and execution, and production deployment.
• In-depth experience on AML scenario design and tuning that includes activities such as data profiling and quality analysis, performing statistical analysis on account and…