Editorial Specialist (Data Analysis Focus)

Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.

With the right people and the right ideas, there’s no limit to what we can achieve

Sounds awesome, right? Now, let’s make sure you’re a good fit for the role:

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  Interpret, validate, and transform financial data into structured, high-quality outputs.

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  Ensure data accuracy, consistency, and compliance with internal standards.

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  Translate complex financial datasets into clear, concise, and well-structured content through light editorial writing.

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  Apply markup, formatting, and content structuring to prepare materials for publication.

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  Perform technical and editorial reviews of data-driven content.

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  Collaborate with cross-functional teams (data, editorial, and operations) to maintain quality and consistency.

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  Identify and resolve inconsistencies in data and content presentation.

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  Support team development and mentoring, promoting best practices in both data handling and editorial quality.

• 3+ years of experience working with financial data, data analysis, or editorial/data-focused roles.

• Strong ability to interpret, validate, and transform financial datasets.

• Advanced proficiency in Microsoft Excel (complex formulas, data cleaning, data modeling).

• Excellent written and verbal communication skills in English, with strong grammar, syntax, and clarity.

• Experience in copyediting, technical writing, or content quality review.

• Exceptional attention to detail and ability to ensure high data and content accuracy.

• Strong analytical and critical-thinking skills.

• AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.

• Understanding of fixed income fundamentals (yields, duration, credit).

• Familiarity with financial data platforms such as Bloomberg Terminal or Morningstar.

• Experience with Workfront or similar workflow management tools.