The company offers capital markets products and services to corporate, government and institutional clients across six areas: investment banking, debt capital markets, institutional equities, private equity, precious metals, and foreign exchange and money market.
Its work includes underwriting and placing new debt and equity, advising on acquisitions and divestitures, and executing daily trading and investment needs.
Over 6,500 staff work from 40 cities worldwide.
In 2023 the company acquired a US equities business with a broad equity research franchise.
This role leads the Volcker regulatory reporting work inside Market Risk Technology. You will be the main business systems analysis lead and work with the Volcker Office, Market Risk, Product Control, Compliance, Regulatory Supervisory Management, Engineering and other business and technology groups to make reporting accurate, controlled, supportable and ready for production.
Strong analysis, stakeholder leadership and solid technical skills matter most. Comfort with Microsoft Copilot is expected. Python experience is helpful but not required.
Responsibilities
Lead business systems analysis for the Volcker workstream, from discovery and scoping through build, release and post-release validation.
Own the requirements plan, analysis approach, decision log, traceability, dependencies, risks and stakeholder update rhythm.
Split complex regulatory and business goals into clear, prioritized deliverables, and help with estimates, sequencing, planning and delivery across teams.
Guide analysts and delivery partners at a senior level, encourage consistent BSA practice, and flag problems early with options and recommendations.
Share knowledge and mentor others across the BSA practice.
Run requirement walkthroughs so business, architecture, engineering, testing, production support and control teams share one understanding.
Maintain traceability from requirements through design, test evidence, release and production checks.
Assess reporting processes and system capability, and identify gaps, impacts, upstream and downstream dependencies and target-state options.
Assess the impact of regulatory and policy changes on reporting, data, systems, controls and procedures.
Apply market risk and Volcker knowledge to quantitative measures, trading-desk reporting, controls, commentary, approvals and submissions.
Analyze data on sensitivities, VaR, P&L attribution, limits, usage, positions and transaction volumes.
Define validation, reconciliation, reasonableness checks, exception handling, sign-off evidence and remediation requirements with reporting and control functions.
Investigate reporting issues and data anomalies, lead root-cause work, and set durable fixes and validation plans.
Use SQL extensively to query, profile, reconcile and validate Volcker data, including joins, transformations, calculations and stored logic.
Check Tableau dashboards, sources, calculated fields, filters and extracts against requirements and underlying data.
Trace discrepancies between SQL processing and Tableau output with engineering and reporting teams.
Trace data from source through transformations, controls and reports, document lineage, and spot gaps.
Give informed input in design discussions on interfaces, APIs, file integrations, data models, batch processes, control points and support needs.
Use Python where it helps automate repeatable analysis, reconciliation, data-quality checks, test data and evidence.
Use Microsoft Copilot responsibly, within data-security and governance rules, for drafting, analysis, test preparation and knowledge capture.
Define the overall test approach and detailed scenarios across functional, system, integration, regression, business and user acceptance testing.
Coordinate test execution, defect triage, evidence collection and stakeholder sign-off.
Validate calculations, completeness, control behavior, outputs, procedures and downstream effects before release.
Support release planning, operational handover and post-implementation reviews for business-critical regulatory reporting changes.
Facilitate workshops, settle ambiguity, surface trade-offs, and prepare concise status and decision materials for working teams, senior management and governance forums.
Requirements
8+ years of relevant experience in business systems analysis, regulatory reporting, risk technology, data analysis or technology delivery in capital markets or financial services.
Proven ability to lead a complex workstream and manage requirements, analysis, testing, dependencies, risks and stakeholder alignment independently.
Strong understanding of market risk concepts and data, including practical knowledge of VaR, sensitivities or Greeks, P&L attribution, limits, positions or transaction data.
Hands-on experience with Volcker regulatory reporting, Volcker metrics, trading-desk reporting or closely related regulatory risk reporting.
Proven record of writing business, data, functional, non-functional, control and operational requirements with end-to-end traceability.
Strong data analysis and problem-solving skills, with hands-on SQL and Excel, data profiling, reconciliation, source-to-report analysis and root-cause investigation.
Extensive experience planning and supporting functional, integration, regression, business acceptance and user acceptance testing, including defect analysis and evidence management.
Working knowledge of the software delivery lifecycle, release management, production readiness, operational controls and change governance.
Excellent written and verbal communication, with the judgment to work effectively with senior business, risk, compliance and technology stakeholders.
Ability to manage competing priorities, work independently, pay close attention to detail, and deliver high-quality results in a fast-paced setting.
Nice to have: Python scripting for data analysis, reconciliation, automation or test support.
Nice to have: practical experience with Microsoft Copilot or other approved generative AI tools for analysis, documentation, testing or delivery.
Nice to have: experience with JIRA, Confluence, APIs, file-based integrations, Linux or Unix environments, or modern data platforms.
Nice to have: knowledge of trade capture and risk platforms such as Calypso, Murex or SOPHIS, and of downstream market risk or regulatory reporting flows.
Nice to have: experience with data governance, lineage, data-quality controls, platform modernization, cloud adoption or legacy application decommissioning.
Nice to have: experience in Agile, product-led or hybrid delivery models.
Conditions
Location: Toronto, Ontario, Canada.
Hours field: 5.
Line of business: Technology Solutions.
Base salary range: $96,900 to $136,800 CAD. The offered pay may vary based on skills, experience, job-related knowledge, geographic location and business needs. Pay can progress through the range over time.
This role is eligible for a discretionary variable compensation award based on business and individual performance.
Ask any compensation questions; your recruiter can give you more specific details for this role.
Provincial employment rules may apply, as each province or territory in Canada can set its own requirements.
The company aims for a respectful workplace where diverse perspectives are valued and everyone has fair chances to grow.
Benefits
Total rewards include base salary, variable compensation, health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.
Regular career, development and performance conversations with your manager.
Access to an online learning platform and a range of mentoring programs.
Training and onboarding sessions to prepare you for the role.