About The Position

As a Junior Analyst in Risk Data, you will help transform publicly available information into accurate, structured, and decision-useful risk data. You will review content from relevant sources, identify material business-conduct risk information, and label data in accordance with RepRisk’s established methodology and quality standards. This entry-level role is designed for a recent graduate or an early-career professional with up to approximately 1.5 years of relevant experience. You will develop foundational knowledge of business-conduct risk mapping, environmental, social, and governance topics, and data-curation processes while working under the guidance of experienced analysts. RepRisk is a Data as a Service company focused on reputational risks and responsible business conduct. Its mission is to provide transparency on business-conduct risks to drive positive change. The company combines AI, human expertise, and an established methodology to provide clients with business-conduct data. RepRisk has 400 employees and is headquartered in Zurich, with offices in Toronto, New York, London, Berlin, Manila, and Tokyo.

Requirements

  • A bachelor’s degree.
  • Recent graduate or up to approximately 1.5 years of professional, internship, research, or other relevant experience.

Nice To Haves

  • Experience involving research, content analysis, data labelling, quality review, or structured information processing is an advantage, but not required.

Responsibilities

  • Review news, reports, and other relevant public sources to identify content within the scope of the RepRisk methodology.
  • Distinguish between positive and negative sentiment and identify relevant risk information and sources.
  • Label text and risk indicators using predefined categories, rules, and established workflows.
  • Apply basic business-conduct risk concepts when reviewing and categorizing information.
  • Use automated data-labelling tools and learn to recognize obvious mismatches or unexpected automated results.
  • Validate AI-generated or automated outputs against sources, apply RepRisk methodology, and adhere to established quality standards.
  • Conduct online research to gather context needed to support accurate data curation.
  • Complete assigned work accurately, consistently, and within agreed timelines.
  • Escalate unclear cases, potential errors, and data-quality concerns to experienced analysts or supervisors.
  • Maintain accurate records of completed tasks, decisions, and relevant communications.
  • Participate actively in team activities, share progress and challenges, and contribute to a collaborative working environment.
  • Seek and apply feedback to strengthen analytical judgment, data quality, and productivity.

Benefits

  • Flexible work and the possibility of working from home up to 3 days per week.
  • Market-based compensation, benefits, and perks.
  • Paid volunteering and training days.
  • Donation matching program.
  • Health and fitness subsidy.
  • Optional social events.
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