Senior Manager, Ib Fraud Analytics

Requisition ID: 243669

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Join a purpose driven winning team, committed to results, in an inclusive and high-performing environment.

**_
Purpose_**

Contributes to the overall success of the International Banking Fraud Management Group ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

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Accountabilities_**
- Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
- Drive the innovative fraud Proof-of-Concepts, and provide support on ongoing assessment of the fraud threat landscape and anticipation of risks and corresponding improvement of our strategies and capabilities.
- Provide guidance and train the local teams on analytics best practice for fraud strategy improvement.
- Design complex predictive models and pattern detection algorithms such as profile analysis, neutral network and predictive analytics to assess fraudulent activities.
- Assess existing analytics functions/tools and investigate new opportunities to develop new and enhance existing fraud detection capabilities utilizing Artificial Intelligence (eg. Machine Learning) and advanced statistical methodologies/modelling.
- Explore a variety of machine learning, statistical analytics and data mining techniques with the objective of improving our fraud strategy prediction capability.
- Contribute to the mitigation of fraud risk by leveraging machine learning and business expertise to advise the senior leadership.
- Maintain effective dialogue with internal technology and business partners on development, delivery, risk and trends.
- Utilize potentially silo-ed, irregular, and unstructured and external data and data warehouses to enable a consolidated view of information and drive behavior and predictive analytics.
- Support the analytics strategic roadmap, including the introduction of machine learning, statistical modelling and other capabilities that will deliver meaningful data analysis and scoring.
- Keep abreast of emerging issues, trends and evolving regulatory requirements and assess potential impact to the bank.
- Identify fraud threats and vulnerabilities, and recommend/implement remedial actions, which will enable the Bank’s strategy, while protecting customers and shareholders.
- Support the design and implementation of the overall fraud management strategic roadmap and future initiatives.
- Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
- Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
- Champions a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team.

**_Reporting Relationships_**

Primary Manager: Director, International Banking Advanced Fraud Analytics
Direct Reports: No Direct Reports
Shared Reports (solid/dotted if applicable): No Shared Reports

**_Dimensions_**
- Individual Contributor
- International Banking responsibility with all IB business units supported
- Support Fraud technology roadmap and analytics tools (+/- 10 main systems)
- Global Regulatory requirements around data and privacy
- Drive the innovative fraud Proof-of-Concepts, and provide support on ongoing assessment of the fraud threat landscape and anticipation of risks and corresponding improvement of our strategies and capabilities.
- Provide guidance and train the local teams on analytics best practice for fraud strategy improvement.

**_
Education / Experience / Other Information_**
- Post-secondary degree in machine or statistical learning or similar discipline such as applied mathematics/statistics or engineering strongly preferred
- Specific bank and/or industry experience around Fraud models, advanced mathematics, machine learning, artificial intelligence
- Understanding Banking system/processes and general payments echo system
- In-depth industry fraud knowledge, including current fraud trends and challenges globally
- Minimum 5+ years of Advanced Analytics (eg. Machine Intelligence) experience
- Strong coding, organizing and expertise manipulating large amount of data (SAS, R & Python, etc