Please be advised that our Careers site will be unavailable from November 28 at 12am ET to November 29 12am ET for scheduled system maintenance.

Title:  Senior Manager, IB Fraud Analytics

 

 

 

Requisition ID: 243669

Thanks for your interest in ScotiaGBS, the best campus in Bogota.

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.

 

Accountabilities

 

•    Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

•    Apply advanced data analytics techniques, data mining and machine intelligence to improve fraud mitigation capabilities, and support delivering IB Fraud Analytics Architecture.

•    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.

•    Act as fraud subject matter experts to support local analytics teams on key business initiatives where there is a dependence on the machine learning/cognitive computing technology.

•    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
•    Apply advanced data analytics techniques, data mining and machine intelligence to improve fraud mitigation capabilities, and support delivering IB Fraud Analytics Architecture.
•    Act as fraud subject matter experts to support local analytics teams on key business initiatives where there is a dependence on the machine learning/cognitive computing technology.
•    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.)
•    Deep expertise in applying complex data analytics techniques, including Bayesian analytics, advanced data mining and dynamic analytics, as well as data warehouse
•    Must be self-motivated, energetic and results-oriented and be committed to adding value to the organization
•    In addition, the idea candidate would possess:


o    Creative, out-of-the-box thinker, strong analytical and problem-solving skills
o    Excellent verbal, written and presentation skills
o    Highly flexible and able to adapt quickly to changing priorities
o    Experience with Fraud prevention and strategies is an asset
o    Strong planning, project management and relationship building skills

                                        
Working Conditions


•    Work in a standard office-based environment; non-standard hours are a common occurrence with limited travel globally as required. 


Location(s):  Colombia : Bogota : Bogota 

Scotia GBS is a Scotiabank Group company located in Bogota, Colombia created to support different processes of the Bank and the development and execution of its global services strategy in 15 countries in the Americas. It is composed of 7 service units. We offer an inclusive, positive work environment, and competitive benefits.

At ScotiaGBS, we value the unique skills and experiences each individual brings to the Bank and are committed to creating and maintaining an inclusive and accessible environment for everyone. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at ScotiaGBS; however, only those candidates who are selected for an interview will be contacted.
 


Job Segment: Analytics, Data Mining, Compliance, Risk Management, Data Analyst, Management, Technology, Legal, Finance, Data