Sr. Quantitative Developer

Our client is a regional Banking and Real Estate Investments leader who is looking to add to their Bank Secrecy Act Quantitative Modeling team in a full time capacity at the VP level. Join an organization with an ultra competitive compensation package (salary, benefits, and cash bonus and stock grants plan), amazing office and working environment, and ground floor opportunity to be part of a rapidly-growing team! In this role, you'll be developing and validating market risk and credit risk models with a primary focus to drive compliance with the regulatory directives under Basel III, Bank Secrecy Act (BSA), Anti-Money Laundering(AML), and Fraud.

• Provides technical knowledge and advice to management related to quantitative analysis, modeling, BSA, AML, and Fraud.
• Develops, documents, and maintains the models needed to perform analyses in accordance with regulatory requirements for BSA, AML, and Fraud.
• Periodically evaluates and enhances the models (model optimization) to maintain their relevance and ensure compliance with current regulatory requirements.
• Guides and critically evaluates the efforts of any consultants and vendors engaged to develop and document models to be used or in use in the production environment.
• Mentors and trains Quantitative Modelers, as necessary.
• Serves as an expert resource in the fields of risk quantification and modeling in support of and working closely with both internal and external BSA, AML, and Fraud stakeholders, including business and risk professionals andregulatory authorities.
• Collaborates with business units to identify the relevant data used in analyses and modeling and to ensure that it iscollect and retained.
• Develops, enhances, implements, documents and provides ongoing expert support for the practical applications of BSA, AML, and Fraud analytics and quantitative methods in support of management business decision making and riskmanagement.
• Participates in and provides information for discussions with regulators, independent public accountants, and consultants on current BSA, AML, and Fraud quantitative processes, related outputs and analyses, and managementdetermined model inputs.
• Converts data from different sources into meaningful business intelligence to enhance decisions and financialperformance.
• Performs ad hoc analyses as requested by management.
• Leads the implementation planning and execution of models and collaborates with BSA, AML, and Fraud stakeholders on the implementation of models.
• Leads and/or assists with the remediation of models.
• Makes recommendations for enhancing resource allocation and model performance.

• Knowledge of general business principles.
• Knowledge of several of the following techniques:

• Knowledge of bank operations, including finance and treasury, credit, deposits, sales and support operations, trust and asset management, and regulatory compliance.
• Ability to communicate effectively both verbally and in writing.
• Ability to articulate complex theories, concepts, methodology and findings in a non-technical fashion and to non-technical audiences.
• Ability to demonstrate effective quantitative, analytical, and technical skills.
• Ability to design and apply complex financial and economic models and quantitative tools to solve businessproblems.
• Ability to demonstrate effective interpersonal skills, including working in a team environment and building cross-functional relationships.
• Ability to lead and mentor others.
• Ability to demonstrate effective problem-solving skills.
• Ability to produce high quality documents, presentations, and analyses.
• Ability to interact with a variety of organizational levels.
• Ability to travel for business purposes.

• Master’s degree in mathematics, finance, economics, or related field, or commensurate work experience required;PhD or other advanced degree or training preferred.
• Minimum of five (5) years of increasingly responsible experience in BSA, AML, or Fraud analysis required
• Minimum of three (3) years of experience directly related to BSA, AML, or Fraud modeling or model validation required
• Prior experience planning and leading complex quantitative projects required.
• Prior experience with standard modeling/data extraction tools (e.g., SAS or R) and SQL required.
• Prior experience preparing deliverables for senior management committees and corporate boards required.
• CAFP, CAMLS, or CAMS certified preferred.