TD

Requirements

• 7+ years of relevant experience
• Expert knowledge of IT security and risk disciplines and practices
• Bachelor's degree preferred
• Information security certification / accreditation an asset
• Cloud Security Certification (e.g., Azure Security Engineer, Microsoft Cybersecurity Architect, CISSP, CCSP, etc.)
• 3+ years focused on cloud security architecture
• Prior work with Responsible AI frameworks, AI safety governance models, or data ethics compliance programs

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• Research, validate, and apply new techniques in testing deep learning models applied to tabular/structured datasets.
• Stay up to date with advancements in the field of AI including major publications, foundation models, evaluation metrics, explainability, technology stacks, and datasets.
• Develop/implement AI/ML model validation methodologies and standards, especially for Tabular Deep Learning / Foundation models.
• Work in Distributed Cluster / Cloud environments with large-scale datasets ranging from transactions to large document collections.
• Develop and apply a variety of statistical tests and modeling techniques to identify/recommend improvements to models and undertake related initiatives.
• Implement benchmark models as applicable.
• Conduct R&D in the area of Tabular Deep Learning and Foundation Models evaluation, testing, explainability.

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• Bachelor's degree in Computer Science, Cybersecurity, or related field
• 7+ years of relevant experience in information security
• Expert knowledge of IT security and risk disciplines and practices
• Cloud Security Certification (e.g., Azure Security Engineer, Microsoft Cybersecurity Architect, CISSP, CCSP)
• Experience in a regulated environment
• Prior work with Responsible AI frameworks, AI safety governance models, or data ethics

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• Lead a team of quantitative professionals to validate Financial Crime Risk Management (FCRM) models for Trading Surveillance and Insider Risk Management
• Work with team to develop an effective and efficient validation testing plan based on design of different FRCM models and complete validation in time to support various business initiatives and regulators requirements
• Supervise team's validation work to ensure capture all material & critical model limitations and execution / implementation accuracy of the validation testing
• Support team to have effective communication with different stakeholders from 1st line and in-time solve model limitations / issues to meet validation lead time target
• Work with team to deliver high quality model validation reports with adequate information and justification to support validation conclusions and Audit / regulator review / assessment of validation process and validation analysis

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Remote Work
• Retirement Plan

Skills