Manage and lead the threat Monitoring Team(s) globally. Team mandate and responsibilities include:- Research of current and future internal/external financial crime, terrorism and sanctions threats globally for all business lines. Conduct exposure analysis to determine financial, and reputational risk.- Develop, design and implement innovative industry leading in-house entity resolution software, in-house graph software and contextual graph data platform used to identify Scotiabank’s exposure to the external or internal threats.- Lead a team of asymmetrical problem solvers with diverse industry, technical and investigatory backgrounds. - Research and identify high risk clusters using graph theory and entity research techniques. - Work with 3rd party organizations and develop services that bring operational efficiencies to AML program.Key Achievements- Identified (>1B) significant financial industry exposure to illicit cannabis, human trafficking, national security issues, and pump and dump networks. Intelligence shared with FINTRAC, RCMP, SEC, and CSIS. - Implemented in-house entity resolution software that resolves entities across households, client, and families. Integrated 40+ proprietary and 3rd party data sources, to generate over 100MM entities. - Partnered with Symcor to develop industry leading service to digitize written information on cheques. Decreases payment risk, and increases program efficiency. Service is now leveraged across financial institutions.- Set-up parallel AML platform that focused on generating contextual networks to identify network risk. Platform used to minimize internal bank application risk, and research high risk networks.

Manage and lead the Network Analytics and Machine Learning team globally. Team mandate and responsibilities include:- Tasked with building a team of 15 data engineers, data scientist, and dev/ops from the ground up. Team mandate was to introduce new analytical techniques (graph theory, entity resolution, natural language understanding/processing) and apply to underlying business models and control functions across enterprise. - Cultivated relationships with decision makers across enterprise (product, analytics, and control area's). Worked collaboratively with partners and launched over 150 use cases.- Designed and built graph platforms that focused primarily on payments. Integrated 15+ bank channels into common graph that was leveraged by 100+ data scientist.- Developed derivative data products from graph platform that were consumed by partner teams and consumed by downstream applications. - Leveraged information management tools to document end-to-end design, analytical methodologies, and code repository to ensure that team had a strong foundation to share with third party teams and also have a set of working processes and standards.

Led the development of a new bank capability, Financial Networks, across International Banking. Capability was launched successfully across 21 countries with a small, focused and effective team. To ensure successful launch, an internal support network was built across the bank that focused on maintaining robust relationships with systems, business lines, enterprise data warehouse, business support areas and other key stakeholders. Defined and managed initiatives for implementing the capability. Developed the roadmap, governance structure and follow-up procedures. Identified high risk challenges and put in place action plans to ensure resources were efficiently allocated. Identified and targeted early adopters and established credibility by demonstrating subject matter expertise and knowledge. Worked closely with this group on initiative development to ensure innovative approaches and tailored methodologies to address specific client needs.

Collaborated with partners to launch and design deposits product optimization and pricing strategy, and supported new deposit portfolio launches. Constructed pricing and optimization frameworks focused on generating incremental revenue, and optimizing client base. Launched strategy successfully in two countries generating an increase in fee revenue by 50% in Turks & Caicos, and 30% in Jamaica. Optimized country client bases by forcing high cost inactive clients to close accounts.Pricing and optimization strategies eventually became key bank initiative launching across 21 countries. Key designs, frameworks and management information are tools still being used today to optimize and price portfolios.

Responsible for designing, building and implementing deposit product information repository. Combined knowledge of core bank systems with product theory to build a web based information portal across 21 countries. Information portal became key source for any deposit decision made by head office and country partners. Management information enabled product area to evolve business model from a relationship management centric model to a product ownership model. Key stakeholder in a broad number of initiatives including stress testing, portfolio optimization, cost benefit, pricing, and financial models.

End-to-end client & dealer management for General Motors. Job role focused on driving sales through direct to consumer campaigns. Designed and built new client acquisition, retention and geotargeting campaign models for automotive dealerships, and head office. Annually launched 10+ national campaigns and 10+ regional campaigns. Average campaign incentive amount greater than $5 million.Combined General Motors data repository with Canadian census data, POLK automotive data, and MapInfo Psyte clusters to construct General Motors first geotargeting campaigns. Used datamining techniques to construct area level targeting methodology. Convinced head office senior executive to engage regional dealer bodes in Toronto, and Southwest Ontario for campaign buy-in. Constructed campaign end-to-end strategy and managed relationship with individual dealers to ensure stakeholders were aligned. Multidimensional role combining a diverse suite of business, technical, and managerial skill-sets.

Designed and built data management and business information tools for General Motors. Used SAS and Cognos software to construct management reports, and information cubes. Information tools focused on client behavior primarily for marketing and sales. Used data-mining techniques to source data from General Motors sales, warranty and dealer databases. Built predictive modeling to score clients who were at a lower risk of being retained. Designed and built marketing campaigns to target and increase client retention.