AML Model Development

Onsite in Boston MA preferred. Remote is fine as well.

Bill Rate: $70 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
Master s 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