• Transaction monitoring• Effectively implemented a new AML transaction monitoring system with a team in atime-frame condensed to 6 months by leading data and rule mapping exercises• Modernized our transaction monitoring rules while simultaneously integrating new customers,accounts, and transactional data from a bank acquisition• Enhanced fraud monitoring rules through the use of developed emulations• Design and develop AML monitoring tools, programs and models using a risk-based approach• Evaluate the effectiveness of existing AML modeling tools, programs and models and tune them as needed using a risk-based approach• Collaborate with the AML Investigations, internal audit, external examiners, model risk management to ensure AML compliance.• Interact with other groups within FCRM and provide utility through analytics support• Manage, maintain and improve existing processes and introduce newer processes to maintain adequate coverage of all the transactions associated with the products and services offered by the bank.• Data analytics and construction of KDIs, KPIs, and KRIs• Design processes to integrate data from multiple sources to facilitate advanced analytics• Develop efficient, scalable and repeatable processes to run transaction monitoring processes on a regular basis• Use best practices framework to ensure data, and model quality and reconciliation checks are in place and are transparent to the audit, model risk management and regulators• Evaluate effectiveness of the models and delivered information by working with users of information• Document data transformation, model development and monthly processes to the satisfaction of Model Risk Management, Internal Audit and the Bank Examiners

Responsible for helping to develop and validate leading edge AML models for transaction monitoring, name matching, watch-list monitoring, customer risk scoring and providing input to the framework for AML model development and validation. • As an SME for AML model development and validation, provide day-to-day direction to the team,acting as the main go to person and providing informal coaching to teams to build this offeringto clients within Banking and Capital Markets• Provide consulting and timely advice to clients on accurate frame work for AML modeldevelopment and guide clients on validating existing AML models.• Test, review and validate AML models• Assist technical writers with model documentation, following the AML and EnterpriseModeling Governance standards• State key assumptions, including quantitative, qualitative and expert judgment, logic andconceptual soundness; conduct various tests.• Apply various industry best practices and techniques in the model performancemonitoring and validation area.

Work as a senior AML analytics consultant in SAS’s Fraud & Compliance Professional Services division where my role is to help develop and apply SAS’s AML solution and optimization business (monitoring, segmentation, scenario tuning, and model validation advisory business)• Assist customers in developing robust AML customer / account segmentation models that allow for effective risk-based transaction monitoring scenario threshold setting.• Develop and apply anomaly detection scenario to identify customer deviations from their historical activity and respective peer groups• Perform ongoing transaction monitoring scenario tuning exercises aimed at optimizing the scenarios’ effectiveness and efficiency (i.e. distribution analysis, initial threshold setting, below-the-line testing, above-the-line testing, anomaly detection, etc.).• Develop robust and effective statistical predictive models used to enhance the current transaction monitoring scenarios (i.e. customer risk rating).• Assist customers in meeting the regulatory expectations with regards to model validation (specifically OCC 2011-12).• Utilize statistical methodologies and approaches in AML scenario tuning and model validation.• Analyze data, applying analytics, building analytical models, researching and evaluating new algorithms and technologies• Present findings and solutions across various domains such as compliance, fraud, and security intelligence in any number of industries• Interact and advise delivery teams around the globe, while harvesting information to enhance solutions.• Provide technical consulting services associated with the SAS Financial Crimes solutions.

Work as a data scientist in SAS’s Research and Development division where my role is to help develop and apply SAS’s AML solution and optimization business (monitoring, segmentation, scenario tuning, and model validation advisory business)• Design, develop, and debug software for new and existing products in accordance with designated development practices and timelines. • Analyze both business and system requirements working directly with development, testing, deployment, usability, and documentation teams, as well as customers, delivery teams, product management, and others.• Analyze data, applying analytics, building analytical models, researching and evaluating new algorithms and technologies• Present findings and solutions across various domains such as compliance, fraud, and security intelligence in any number of industries• Interact and advise delivery teams around the globe, while harvesting information to enhance solutions.• Assist SAS customers in developing robust AML customer / account segmentation models that allow for effective risk-based transaction monitoring scenario threshold setting.• Perform ongoing transaction monitoring scenario tuning exercises aimed at optimizing the scenarios’ effectiveness and efficiency (i.e. distribution analysis, initial threshold setting, below-the-line testing, above-the-line testing, anomaly detection, etc.).• Develop robust and effective statistical predictive models used to enhance the current transaction monitoring scenarios (i.e. customer risk rating).• Assist customers in meeting the regulatory expectations with regards to model validation (specifically OCC 2011-12).• Utilize statistical methodologies and approaches in AML scenario tuning and model validation.• Provide technical consulting services associated with the SAS Financial Crimes solutions.

Work as a consultant in SAS’s Professional Financial Services division where my role is to help develop and apply SAS’s AML segmentation, scenario tuning, and model validation advisory business.• Assist SAS customers in developing robust AML customer / account segmentation models that allow for effective risk-based transaction monitoring scenario threshold setting.• Perform ongoing transaction monitoring scenario tuning exercises aimed at optimizing the scenarios’ effectiveness and efficiency (i.e. distribution analysis, initial threshold setting, below-the-line testing, above-the-line testing, anomaly detection, etc.).• Develop robust and effective statistical predictive models used to enhance the current transaction monitoring scenarios (i.e. customer risk rating).• Assist SAS customers and non-customers in meeting the regulatory expectations with regards to model validation (specifically OCC 2011-12).• Assist customers with determining the most appropriate SAS platform scenarios based on their unique AML risk profile, product offerings, customer / account base, and experienced transactional activity.• Utilize statistical methodologies and approaches in AML scenario tuning and model validation.• Provide technical consulting services associated with the SAS Financial Crimes solutions.

• Perform ongoing transaction monitoring scenario tuning exercises aimed at optimizing the scenarios’ effectiveness and efficiency (i.e. distribution analysis, below-the-line testing, above-the-line testing, etc.).• Develop robust and effective statistical predictive models used to enhance the current transaction monitoring scenarios.• Applied statistical methods to organize, analyze, and interpret data related to AML monitoring scenarios and thresholds across different lines of business.• Reduced the analysts’ workload by roughly 50% during the optimization process by combining similar segments, thus producing smaller representative sample sizes.• Identified areas for continual improvement with the optimization statistician team and analysts, resulting in several data lists for targeted research on customers with specific characteristics.• Provided written explanations of approach and analyses to support the conclusions and observations for sensitivity analysis.• Demonstrated the statistical methods and procedures used in the sensitivity analysis optimization process to global peers.

• Developed scatterplots and bar charts to assist in optimizing Mantas scenarios and visualizing thresholds.• Created a fuzzy matching program with a scoring method for comparing text fields that reduced the number of monthly alerts by roughly 350.• Provided ad hoc data mining support to AML Operations for critical decisions.• Developed partnership with IT group to provide for more efficient solutions to data, system, and application issues by noting areas of improvement such as data accuracy and integrity.

• Analyzed and evaluated medical claims data to reduce errors and increase accuracy in support of MEDai’s predictive modeling tool targeted at health plans.• Performed high level data analysis and project management of production processes for large scale Oracle predictive modeling databases• Tested, tracked, and monitored data for quality, integrity, and trend analysis by using SQL and DBA-developed tools.

• Responsible for data preparation and mapping of client data• Loaded client data into Oracle tables using DBA-developed tools• Created ETGs (Episode Treatment Groups) for use in predictive modeling• Assisted with web technical QA of client data

• Coordinated and managed the loading of health carrier data into the Benefitfocus.com application (Bluesenroll.com).• Responsible for updating and reconciling health carrier data • Communicated issues and developed a problem resolution strategy to ensure timely and accurate data loading. • Utilized Oracle Database processing tools to retrieve and verify information pertaining to carrier loads

• Updated Nucleus RTOS (Real Time Operating System) product line for tool/processor/product updates using source code, tools, and debuggers.• Tested custom integration software (compiler/debugger application)• Developed additional products, such as Compact Flash, from existing source • Released timely product updates, which facilitated increased quarterly sales.