Job offer

Graduate Engineer - Operational Risk Management Technology

Man Group is looking for a Graduate Engineer for Operational Risk Management Technology to support, enhance and maintain software tools for the Operational Risk Management team. The ideal candidate will have a technical background and an interest in risk management.

Job description

Overview

We are looking for a motivated Graduate Engineer to join our Operational Risk Management team to support, enhance and maintain key software tools. This entry-level position is ideal for individuals with a technical background and an interest in risk management.

Main tasks

  • Platform support & improvement:
    • Assistance with the configuration and customization of IBM OpenPages, IBM Cognos and Prevident to support (IBM) technology
    • Support for IBM OpenPages technology and reporting tools
  • Risk management integration:
    • Collaborate with the Business Model Risk Management (BMRM) team to support regulatory risk tracking and third party risk management preventers
  • Stakeholder cooperation:
    • Collaborate with stakeholders to translate business requirements into technical solutions, databases and system enhancements
  • Documentation & reporting:
    • Adhere to discipline and best practices to produce reports that deliver actionable insights
  • Quality assurance & monitoring:
    • Development and implementation of performance monitoring to ensure system reliability
  • Continuous learning:
    • Build expertise in relevant tools and update on emerging technologies and risk management practices

Requirements

Required:

  • Bachelor's degree in information systems, computer science or a related field
  • Basic knowledge of technical concepts and interest in risk management
  • Strong analytical, problem-solving and communication skills

Preferred:

  • Familiarity with IBM OpenPages, IBM Cognos or similar systems
  • Experience with data quality or risk management tools or Prevident
  • Experience in software configuration, reporting or data analysis through internships or academic projects

Key attributes

  • Willing to learn and adapt in a dynamic environment
  • Detail-oriented and committed to quality work
  • Collaborative and able to manage multiple tasks effectively

We offer

  • Hybrid working model
  • Competitive remuneration package
  • Pension and health insurance
  • Employee Assistance Program
  • Flexible working hours
  • Additional days off for long service and voluntary work
  • A friendly culture
  • Opportunities for professional development, including internal tech talks
  • Conference participation and involvement in the open source community

Job details

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