The OTC Derivatives Controls Analyst will investigate OTC uncleared derivative trades valuation differences and resolve margin disputes, creating daily reconciliation reports and monitoring exposure differences in compliance with regulatory guidelines.
Responsibilities
Produce, analyze and investigate exposure reconciliations for in-scope counterparties according to regulatory guidelines
Track and monitor frequency of required reconciliations based on counterparty trade volumes
Partner with IT to reduce systemic risk and increase operational efficiencies in the daily process
Case manage and report exposure differences in TriResolve and using EUC tools
Escalate disputes/discrepancies per Standing Orders and department Operating Procedures
Requirements
College or University Diploma/degree
Nice to have: Experience with AI agents and AI tools
Nice to have: Experience with maintaining Excel macros or equivalent scripts
Nice to have: Experience with programming languages and data query (VBA, Python, SQL)
Nice to have: Experience with management information reporting
Lead the design, governance, and standardization of enterprise API platforms across the organization, ensuring interoperability, security, and cost optimization.
Compensation
A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
Responsibilities
Define long‑term API strategy and governance
Establish enterprise‑wide API standards and reusable patterns
Architect large‑scale integrations and blueprints
Set technology roadmap and evaluate new tools
Present strategy to C‑suite
Requirements
Nice to have: Apigee Certified API Architect
Nice to have: MuleSoft Certified Integration Architect
Design, develop, and oversee the creation of robust, scalable APIs for digital products and services, while leading modernization and standardization efforts for legacy APIs.
Compensation
A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
Responsibilities
Collaborate with Enterprise API and Security architects to design secure, robust, flexible and scalable APIs
Identify technical debt for legacy APIs and establish remediation plans
Proactively research, present, and make recommendations regarding new features
Establish procedures for addressing security vulnerabilities for all API code repositories
Create/Maintain API documentation and adhere to development and security standards
This role provides the opportunity to support analytics-enabled initiatives by developing and delivering data analysis and models that address defined business needs post audit closure.
Compensation
Base salary range is expected to be between $94,430.00 CAD - $144,430.00 CAD
Responsibilities
Develop and implement analytics-enabled solutions to improve business processes, generate insights, and support business strategy
Own and deliver end-to-end analytics projects of moderate complexity, while contributing to larger, more complex initiatives
Analyze large and complex datasets to generate actionable insights and translate findings into clear business recommendations
Collaborate closely with business stakeholders and subject matter experts to understand data sources, processes, and business needs
Requirements
Degree in Statistics, Mathematics, Computer Science, Engineering, or a related field
Bachelor’s degree with equivalent technical experience
The Quantitative Analytics team within Financial Risk provides quantitative financial modelling and analytics capability to a variety of stakeholders in Group Risk, Group Finance and Business Units. The team focuses on model, methodology and application development to support liability valuation, risk measurement, insurance product pricing and decision making.
Compensation
Base salary range is expected to be between $73,725.00 CAD - $122,875.00 CAD
Responsibilities
Develop sophisticated models to generate economic scenarios for multiple asset classes, enhancing our valuation, pricing, capital, and risk reporting capabilities.
Innovate calibration methodologies and tools for model inputs to ensure accuracy and reliability.
Maintain transparency and facilitate model risk management and audits by meticulously documenting risk models and processes.
Champion continuous improvement initiatives to drive efficiency and effectiveness within the risk modeling function.
Collaborate on ad-hoc projects, providing quantitative expertise to business partners, senior management, and industry working groups.
Requirements
Master or Ph.D. in Quantitative/Mathematical Finance, Mathematics, Statistics, or a related field
Support ongoing research projects at the Centre for Media, Technology and Democracy, collecting, cleaning, and analyzing data on the Canadian media ecosystem.
Compensation
$25.00
Responsibilities
Support ongoing CMTD research projects
Collect, clean and analyze data
Contribute to research outputs, including reports and briefs
Communicate findings with team members, receive feedback, and converge on defensible conclusions
Provide general support to research activities where needed
Requirements
Current MPP student at the Max Bell School of Public Policy
An Operations Research Engineer to join the Workforce Management (WFM) product stream, focusing on building optimization capabilities for workforce planning, forecasting, scheduling, and resource allocation for a large-scale contact center environment.
Responsibilities
Research, design, and develop optimization models for contact center workforce planning, scheduling and resource allocation.
Design and implement the schedule optimization engine using OR-Tools/CP-SAT.
Own the constraint model end to end: formalize business rule into a solvable, maintainable model.
Build the production-grade solver as a service within the WFM platform that meets latency targets for real forecast group volumes.
Define and validate schedule quality metrics (coverage attainment, constraint violations, solve time, solution stability across re-solves) and instrument the service so quality can be monitored in production.
An Operations Research Engineer to join the Workforce Management (WFM) product stream, focusing on building optimization capabilities for workforce planning, forecasting, scheduling, and resource allocation for a large-scale contact center environment.
Responsibilities
Research, design, and develop optimization models for contact center workforce planning, scheduling and resource allocation.
Design and implement the schedule optimization engine using OR-Tools/CP-SAT.
Own the constraint model end to end: formalize business rule into a solvable, maintainable model.
Build the production-grade solver as a service within the WFM platform that meets latency targets for real forecast group volumes.
Define and validate schedule quality metrics (coverage attainment, constraint violations, solve time, solution stability across re-solves) and instrument the service so quality can be monitored in production.
An Operations Research Engineer to join the Workforce Management (WFM) product stream, focusing on building optimization capabilities for workforce planning, forecasting, scheduling, and resource allocation for a large-scale contact center environment.
Responsibilities
Research, design, and develop optimization models for contact center workforce planning, scheduling and resource allocation.
Design and implement the schedule optimization engine using OR-Tools/CP-SAT.
Own the constraint model end to end: formalize business rule into a solvable, maintainable model.
Build the production-grade solver as a service within the WFM platform that meets latency targets for real forecast group volumes.
Define and validate schedule quality metrics (coverage attainment, constraint violations, solve time, solution stability across re-solves) and instrument the service so quality can be monitored in production.
The DevSecOps, Specialist will work closely with engineering teams to remove operational bottlenecks, strengthen shared ownership of production services and improve the tools and environments that support secure, reliable software delivery.
Compensation
The hiring range for this position is $75,000-$115,000, and you will also be eligible for our short-term incentive plan.
Responsibilities
Continuously evolve platform tooling, workflows and operational practices so they remain reliable, efficient and scalable as user demand and engineering complexity grow.
Partner with development and product teams to understand day-to-day challenges, resolve operational issues and improve the developer experience through proactive support and enablement.
Champion DevOps practices and shared operational ownership, helping teams build, deploy and support production services with clear accountability.
Improve production reliability through stronger instrumentation, dashboards, telemetry, monitoring and automated deployment capabilities.
Develop and implement automation across cloud and platform environments to reduce manual effort, improve consistency and support high-availability services.
Requirements
Post-secondary degree or diploma in Engineering, Programming/Systems, Computer Science or a related discipline