| Job Title: AML Model Development @ Job Location: Remote at Remote, Remote, USA |
| Email: [email protected] |
| CEIPAL ATS - Simplified Recruiting and Staffing Job Title: AML Model Development Job Location: Remote Job Duration: Long-Term Job Description In this role, you will be responsible for AML Model Development for a BFS client in North America Responsibilities You will be primarily working for the centralized advanced analytics team of a banking firm to help develop leading edge AML models for transaction monitoring, name matching, watch-list monitoring, customer risk scoring as well as providing input to the framework for model development. The role will require interacting with various business units including their risk, finance, controllership stakeholders etc. You will also be responsible for coordinating with auditors and model development teams to ensure the AML and Enterprise Modeling Governance standards are followed; Your activities will include, but will not be limited to the following: Provide analytical support for recommending actions to mitigate risk and use judgment-based decision-making regarding AML policies and procedures Accomplish the objectives of the Enterprises AML Program through effective oversight and support of critical AML applications Assess the quality of the data for model development as well as inputs to the model, providing recommendations to improve the data quality at the source Developing rule based, statistical or machine learning based AML models, rule fine tuning/optimization, testing, reviewing and performing validation activities and prepare end to end model documentation Propose recommendations to improve monitoring systems and capabilities based on identified risk and control gaps Qualifications we seek in you Minimum qualifications Experience in financial crime preferably in AML area Experience in developing, validating models and risk management of anti-money laundering related models Statistical modeling experience including regression, time series, etc. Detailed knowledge of data analysis / analytics / mining techniques Hands on expertise in SQL, ETL, SAS, Python, R working with large data sets Strong scripting and automation experience using SAS/Python/R etc Masters degree in a quantitative discipline (Statistics/Economics/Finance etc.) Strong client management and communication/presentation skills written & verbal Self-driven, proactive, can-do attitude. Ability to work under ambiguity and with minimal supervision Strong project management experience and demonstrated expertise of communicating and coordinating across multiple business units Strong project management orientation with ability to work under time-sensitive commitments Lead projects and teams - provide thought leadership, technical guidance, training, and oversight Preferred qualifications Strong networking, negotiation and influencing skills Prior experience in financial crime, risk assessments IMPORTANT - PLEASE READ: This electronic message, including its attachments, is CONFIDENTIAL and may contain PROPRIETARY or LEGALLY PRIVILEGED or PROTECTED information and is intended for the authorized recipient of the sender. If you are not the intended recipient, you are hereby notified that any use, disclosure, copying, or distribution of this message or any of the information included in it is unauthorized and strictly prohibited. If you have received this message in error, please immediately notify the sender by reply e-mail and permanently delete this message and its attachments, along with any copies thereof, from all locations received (e.g., computer, mobile device, etc.). To the extent permitted by law, we may monitor electronic communications for the purposes of ensuring compliance with our legal and regulatory obligations and internal policies. We may also collect email traffic headers for analyzing patterns of network traffic and managing client relationships. For further information see: https://apptad.com/privacy-policy/ Keywords: rlang information technology Job Title: AML Model Development @ Job Location: Remote [email protected] |
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| Tue Oct 29 01:52:00 UTC 2024 |