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Related keywords
- Specialist I Tis Systems Analysis
- Machine Learning Systems Software Engineer
- Machine Learning Scientist
- Machine Learning Lead
- Machine Learning Specialist
- Business Analysis
- Learning Systems Specialist
- Learning Management Systems Specialist
- Machine Learning Engineering Specialist
- Business Systems Analysis
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Business Systems Analysis Specialist (Ai And Machine Learning)) [Td Bank]
Company | CareerBeacon |
Address | Toronto, Ontario, Canada |
Employment type | FULL_TIME |
Salary | |
Category | Human Resources Services |
Expires | 2023-08-07 |
Posted at | 10 months ago |
Company Overview
- Offer operational and process-related analysis and support.
- Plan + Elicit + Analyze + Document + Communicate +Manage system requirements;
- Assess client needs and recommend the right technology; and
- Collaboratively work with Model Risk Management, Control Performance, Adaptive Strategy and Product Owners to resolve model performance issues and activities.
- Develop data pipeline and monitoring dashboard for ongoing model performance monitoring.
- Participate in quality management reviews, including designs, prototypes and other requirements work products.
- Assist testing teams in translating requirements and use cases into test conditions and expected results for product, performance, user acceptance, and operational acceptance testing.
- Define, document and translate business requirements into detailed functional specifications, taking into account non-functional requirements.
- Assist in conducting value-added business analysis, insights, and recommendations to support business unit/client endeavors, including ad-hoc reviews, reporting, and takeaways with attribution analysis and executive summaries within own area or as assigned.
- Contribute to project management activities such as: scoping and estimating project efforts, identifying risks and recommending mitigation measures, communicating activity status, as well as escalating and communicating possible issues.
- Apply sound judgement, discretion and collaborate with internal partners to navigate and resolve issues, and deliver value-added solutions.
- Work with vendors to support business case development (consistent with technology requirements and guidelines) including benefits identification, RFI/RFP and service level agreements.
- Work closely with stakeholders to determine solution, assess impact to existing work processes and systems, and pinpoint how to manage integration.
- Respect existing processes and standards including requirements management and project management disciplines, technology delivery and business technology architecture, escalating issues as needed.
- Analyze authentication data and work with stakeholders to identify business logic flaw, prevent unauthorized access and mitigate fraud events.
- Be the SME in understanding how each model in the process interact and work with each other and use data driven insights to improve orchestration.
- Improve processes within area including but not limited to those related to reporting, planning, and forecasting; contribute to overall effectiveness of the organization.
- Use strong communication skills to communicate complex issues in easily understandable terms.
- Work on documentation and testing, communicate with vendors to support vendor model validation exercises.
- Evaluate and monitoring of model performance using common model performance monitoring metrics. Translate model output to actionable insights to support strategy improvements.
- Conduct meaningful qualitative and quantitative research and data analysis on vendor data and propose solutions to mitigate fraud issues and reduce friction on genuine customers.
- Experience with AI and ML models and its application in identity verification, face verification and fraud.
- Advanced proficiency with SQL and Python working with large log data.
- Experience with Threat Metrix and Lexis Nexis Solutions.
- Undergraduate degree in Statistics, Mathematics, Computer Science, or other quantitative discipline.
- Ability to create presentations in MS PowerPoint to share analytical results with leaders.
- Graduate Degree preferred.
- Knowledge of data science modeling techniques, metrologies (Experience with xgboost, optimization algorithms and fraud risk assessment).
- Commitment to applying expert knowledge of business technology delivery practices and standards and related expertise, including design, development, testing and project management.
- Experience and comfort level acting as a subject matter expert and consultant, as well as contributor to potential project assessments.
- Expert knowledge of system analysis process and techniques, as well as system components, functionality, interfaces, data flows and business rules.
- Ability to work independently as the senior or lead system analyst and coach or guide team.
- 7+ years relevant experience.
- Experience with fraud and fraud rule system, fraud model development/testing, model risk management experience within large Financial Institution.
- Learn voraciously, stretch your thinking,
- Inspire a positive work environment and help champion quality, innovation, teamwork and service to the business.
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