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Product Manager

Job in Airdrie, Alberta, P4B, Canada
Listing for: NLB Services
Full Time position
Listed on 2026-06-03
Job specializations:
  • Finance & Banking
    Risk Manager/Analyst, Financial Consultant
Salary/Wage Range or Industry Benchmark: 60000 - 80000 CAD Yearly CAD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Overview

JD:
Product Manager - Collateral Management (USTC Phase3)

Exposure & Margin Analysis
  • Analyze daily counter party exposures across OTC derivatives, repos, securities lending, and prime brokerage portfolios.
  • Support the calculation and validation of initial margin (IM), variation margin (VM), and collateral calls.
  • Investigate margin disputes, exposure breaks, and collateral shortfalls, coordinating with Front Office and Operations.
  • Assess the impact of market movements, recent trades, and lifecycle events on collateral requirements.
Collateral Optimization & Inventory Management
  • Evaluate collateral eligibility, haircuts, and optimization rules to improve funding efficiency.
  • Partner with Treasury and Front Office to support collateral allocation strategies across legal entities and business lines.
  • Analyze collateral inventory, concentration risks, and usage trends to identify optimization opportunities.
Regulatory & Control Framework
  • Interpret and support compliance with regulatory requirements such as Uncleared Margin Rules (UMR), EMIR, Dodd Frank, and Basel III/IV liquidity and capital rules.
  • Contribute to regulatory reporting, internal audits, and model validation for margin methodologies.
  • Maintain documentation for collateral processes, controls, and governance standards.
Data, Systems, and Technology Enablement
  • Translate business needs into functional requirements for collateral systems, exposure engines, and workflow tools.
  • Support system enhancements, testing, and implementation for platforms such as Acadia, Murex, Calypso, or in house collateral engines.
  • Perform data analysis, reconciliations, and root cause investigations across trade, exposure, and collateral datasets.
  • Partner with Technology to improve automation, data quality, and end to end process efficiency.
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