Capgemini

Risk Observability & Analytics Engineer

Capgemini • $72K — $96K *
Montreal, QC H1A 0A1In-Person
Finance & Insurance
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 5+ years in Analytics Engineering, Data Engineering, or Business Intelligence
  • 2+ years leveraging AI development tools
  • Strong problem-solving and critical-thinking skills
  • Ability to rapidly learn new technologies and methodologies
  • Excellent verbal and written communication for diverse stakeholders
  • Experience translating business objectives into technical solutions

Responsibilities

  • Design and maintain measurement frameworks for visibility into risk and control effectiveness
  • Utilize AI to optimize processes and enhance automation
  • Engineer solutions for proactive monitoring of operational trends and risks
  • Continuously assess and report on organizational risk posture
  • Identify trends in controls to improve risk management strategies
  • Integrate data across various platforms for reporting and analytics
  • Develop Key Risk and Performance Indicators for organizational metrics

Benefits

  • Paid time off including vacation, holidays, personal days, and sick leave
  • Comprehensive medical, dental, and vision coverage
  • Retirement savings plans like 401(k) or RRSP
  • Life and disability insurance included
  • Employee assistance programs available
Full Job Description
Job Description:

Responsibilities Include
  • Design, develop, and maintain scalable measurement frameworks that provide end-to-end visibility into control coverage, health, effectiveness, and behavioral performance.
  • Leverage AI Intelligence to optimize architecture and improve automation.
  • Engineer observability solutions that proactively monitor configuration changes, control performance, operational trends, risk signals, and testing outcomes.
  • Continuously assess risk posture against defined tolerance thresholds and identify areas that are within limits, approaching breach, or out of tolerance.
  • Identify directional trends across control populations, including improvement patterns, degradation signals, and early warning indicators.
  • Expose relationships between controls, technology assets, processes, and levels of criticality to identify where risk is concentrated and where failures may have the greatest impact.
  • Acquire, transform, enrich, validate, and reconcile data used within reporting, measurement, and control observability frameworks.
  • Develop lightweight integrations and automated data acquisition approaches across enterprise platforms, internal datasets, and operational data sources.
  • Engineer, implement, and maintain Key Risk Indicators (KRIs), Key Control Indicators (KCIs), Key Performance Indicators (KPIs), scorecards, and supporting measurement methodologies.
  • Design scalable metric architectures capable of supporting large populations of controls, technology assets, operational processes, and risk reporting use cases.
  • Translate stakeholder requirements into business rules, calculation logic, control measurements, analytical models, and repeatable reporting outputs.
  • Develop analytical models, dashboards, scorecards, executive reporting, and observability views that steer business decisions and improve risk management outcomes.
  • Analyze complex datasets to identify trends, anomalies, emerging risks, data integrity concerns, and opportunities for operational improvement.
  • Automate KRI reporting processes, governance deliverables, dashboards, observability, risk scorecards, and ticket workflow automation where appropriate.
  • Support Risk Control Observability reporting initiatives, scorecard development, stakeholder roadshows, and alignment with governance forums.
  • Identify opportunities to automate manual operational processes, legacy scripts, reporting activities, workflow handoffs, and analytical procedures.
  • Leverage Python, SQL, Snowflake, Power Platform, Power Automate, repositories, SDLC practices, source control, GitHub Copilot, and AI-assisted development to deliver scalable solutions.
  • Research and apply Generative AI, Cortex Platform capabilities, AI skills development, and emerging technologies to improve workflow automation, proactive risk identification, and capability enhancements.
  • Gather, document, and refine business requirements through direct stakeholder engagement, structured problem-solving, and strong communication.
  • Translate ambiguous business challenges into actionable analytical, engineering, automation, and reporting solutions.
  • Support product ownership, squad delivery, program leadership, roadmap development, prioritization, horizontal strategy, and executive-level presentations.


Qualifications and Skills Required:

  • 5+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence.
  • 2+ years of experience using AI development tools and frameworks.
  • Strong problem-solving and critical-thinking capabilities with the ability to decompose complex challenges into practical, scalable solutions.
  • Demonstrated ability to learn new technologies, business domains, platforms, and analytical methodologies quickly.
  • Excellent verbal and written communication skills with the ability to engage both technical and non-technical stakeholders.
  • Experience soliciting requirements from stakeholders and translating business objectives into measurable technical outcomes.


The base compensation range for this role in the posted location is: 72,000 to 96,900

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

About Capgemini

Capgemini is a global leader in consulting, digital transformation, technology and engineering services. The company is headquartered in Paris, France and operates in over 50 countries. Capgemini provides a range of services including strategy and transformation, application services, technology services, and engineering services. The company serves clients in a variety of industries including automotive, consumer products, financial services, healthcare, and retail.
Learn more about Capgemini
Industry
Information Technology
Founded
1967
NASDAQ
CGEMY
* Ladders Estimates

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