Senior Data Analytics Investigator, Digital Forensic Services
Toronto, ON, CA, M5H1H1
Scotiabank
Requisition ID: 216760
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
Senior Data Analytics Investigator contributes to the overall success of Digital Forensic Services Analytics / Corporate Security globally 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.
Is this role right for you? In this role you will:
- Support the design and implementation of the overall enterprise insider threat program, user behavioral analytics and future data modelling and analytics initiatives in support of investigations, criminal activity and risk mitigation.
- Contribute to the design of complex predictive models and pattern detection algorithms to detect suspicious digital fraud alerts and user behavioral activities. Decode and debug complex Search queries, build Use Cases for financial crime, employee monitoring, threat intelligence, Online banking, PCI & PII use cases.
- Experience with/or ability to explore a variety of machine learning, statistical analytics and data mining techniques with the objective of improving Corporate Security’s investigative capabilities using Technology to support the Bank’s employee monitoring and digital fraud investigation needs.
- Maintain the Banks’ enterprise insider threat intelligence program, and Corporate Security’s digital fraud investigation mechanisms by updating or creating new data models, rules, alerts, and/or dashboards to provide relative real time actionable intelligence.
- Asses existing analytics functions/tools and be innovative in identifying new opportunities to improve the existing insider threat program, and digital fraud investigation capabilities by utilizing Artificial Intelligence (e.g. Machine Learning) and advanced statistical methodologies/modeling within Splunk as well as other tools.
- Keep abreast of emerging insider threat techniques, digital fraud trends, investigative techniques, evolving regulatory requirements and assess potential impact to the bank.
- Establish and maintain effective dialogue with internal technology and business partners to identify opportunities for new initiatives, development, and risk mitigation.
- Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
- Actively pursue effective and efficient operations of their 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.
- Champion a high performance environment and contributes to an inclusive work environment.
Do you have the skills that will enable you to succeed? - We'd love to work with you if you have:
- Post-secondary degree in relevant STEM discipline (Computer Science, Electrical/Computer/Software Engineering, and Statistics/Mathematics) and/or 3+ year similar hands-on work experience preferred.
- Minimum 4+ years of experience in an analytical role, creating complex data models, dashboards, algorithms, rules, and/or alerts, preferably in the context of user behavioral analytics and monitoring.
- Training and/or certifications in Splunk Enterprise and Data Analytics would be an asset.
- Experience cleaning, transforming and visualizing large data sets working with various data formats (e.g. unstructured logs, XML, JSON, flat files, image)
- Solid SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
- Strong verbal, written, presentation & communication skills.
- Creative, out-of-the-box thinker with strong analytical and problem-solving skills.
- Knowledge of project management, and software development process would be an asset.
- Highly competent in using analytical and computing tools, such as SAS, Java, R, Python, Hadoop, HIVE, Spark, etc.
- Experienced with working in both a technical and business context and able to translate technical concepts into easy to understand business language.
- Experience with various systems integration concepts/usage a such as Rest APIs, batch jobs or data extractions is an asset.
- Must be self-motivated, energetic and results-oriented and be committed to adding value to the organization.
- Highly flexible and able to adapt quickly to changing priorities.
- Knowledge of industry trends regarding fraud and experience in fraud detection and prevention is an asset.
What's in it for you:
- Individual Contributor and takes direction from Senior Manager Data Analytics & Enablement and/or Director Digital Forensic Services.
- Global responsibility to improve investigative and fraud mitigation capabilities for Canada, GBM, and International banking functions.
- Contribute to Corporate Security’s Data Analytics needs and associated Technology roadmap
- Provide ongoing support for the enterprise insider threat program, digital fraud or major case analytics and investigations using primarily Splunk and other big data analytic tools to identify fraud threats and vulnerabilities.
- Apply advanced data mining, data analytics/modelling techniques to improve the overall enterprise insider threat program.
- Recommend and implement iterative and incremental remedial actions, which will enable the department risk mitigation strategy, while protecting customers and shareholders in accordance with the Bank’s policies, guided by experience as well as the Canadian Criminal Code and related statutes.
- Work directly with domestic and international counterparts and/or business line to develop and maintain data models, dashboards, alerts, rules and algorithm to detect or prevent digital fraud losses and assist in the investigation of misconduct and criminal incidents for the Bank, its customers, and/or affiliates.
- Provide subject expertise on key business initiatives where there is a dependence on the analytics and cognitive computing technology
- Architecture design and administration of distributed Splunk Enterprise environments for various end users/business functions.
- Responsible to work with IT&S, IS&C, and Business units to onboard new data sources in Splunk to enhance investigative capabilities. Integration include, but not limited to, D3 Case Mgt, EDL, Cloud Platforms, DBconnect, and source systems.
- Exposed to/Experience with Agile methodologies.
- Possess working knowledge of the Bank’s financial banking systems, data warehouses, logs, policies and procedures, and money laundering techniques, together with fraud, theft, insider threats, and related criminal activity to assist in the technical design, implementation and support of the overall enterprise monitoring program.
- Strong customer focus, collaboration and relationship management skills with ability to build excellent working relationships with stakeholders and to influence senior leadership and team members
- Excellent communication skills (oral and written) with the ability to communicate clearly and concisely to all levels within the organization and have a talent for making the numbers, measure and targets come alive.
- Passion for continuous improvement and learning; as well as fostering a collaborative environment within team
Location(s): Canada : Ontario : Toronto
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.
At Scotiabank, 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. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Architecture Banking Big Data Computer Science D3 Data Analytics Data Mining DB2 Engineering Hadoop Java JSON Machine Learning Mathematics MySQL Python R RDBMS SAS Security Spark Splunk SQL Statistics STEM XML
Perks/benefits: Career development Flex hours
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