Requisition ID: Thanks for your interest in ScotiaTech, Scotiabanks new and innovative Technology hub in Bogota. Join a purpose driven winning team that promotes creativity and innovation in a fast:paced environment, where we're always committed to results, in an inclusive, diverse, and high:performing culture. Purpose Join a purpose driven winning team, committed to results, in an inclusive and high:performing culture. The Data Science role contributes to the overall success of the Fraud Management Group Globally ensuring specific individual goals, plans, initiatives are executed/delivered in support of the team's business strategies and objectives. Ensure all activities conducted are within compliance of governing regulations, internal policies, and procedures. Accountabilities stylemargin:top:0.0cm;margin:bottom:0.0cm: : Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge. : Collaborate with stakeholders including Operations, Analytics and Data Science partners, as well as Scotia Digital and IT and S partners to identify opportunities and drive business value in reducing fraud risks by leveraging Data Science : Leverage distributed computing tools (e.g. Beam, BigQuery, Hive, Spark) for analysis, data mining and modeling : Collaborate with technology / engineering, analytics, and operational teams to deploy fraud detection and prevention models and algorithms in production across different products and channels : Create and apply model validation strategies to measure model effectiveness, conduct A/B testing, and make ongoing enhancements : Prepare detailed documentation to outline data sources, models and algorithms used and developed : Present results to business line stakeholders and help implement real data:driven changes : Understand how the Bank's risk appetite and risk culture should be incorporate into in day:to:day activities and decisions. : Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank's Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day:to:day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk. : Champions a high:performance environment and contributes to an inclusive work environment. Dimensions stylemargin:top:0.0cm;margin:bottom:0.0cm: : Relationship with all the employees of Scotiabank Uruguay, Scotiatech and the Bank. : Information Security Standards and frameworks (ISO27001, NIST CSF, PCI:DSS) : Enterprise Risk Management : Technology (Infrastructure, Cloud, Networking, Datacenter) : Application Security. Education / Experience / Other Information stylemargin:top:0.0cm;margin:bottom:0.0cm: : Experience with machine learning, statistical techniques, as well as model testing and validation : Experience cleaning, transforming and visualizing large data sets working with various data formats (e.g. unstructured logs, XML, JSON, flat files, audio, image) : Solid SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL) : Programming skills in Python, Java or Scala : Hands:on experience with Big Data ecosystem tools (e.g., Beam, BigQuery, Hive, Spark) preferred : Experience with UNIX tools and shell scripting preferred : Expertise with Docker or Kubernetes is an asset : Experience with various services on Google Cloud Platform is an asset : Experience deploying models into productions as streaming application, Rest APIs, batch jobs or dashboards is an asset : Experience with Deep Learning architectures like RNNs and CNNs is highly desirable : Experience using and implementing visualization tools is an asset : Knowledge of industry trends regarding fraud and e