Forage AI Careers!

Data Specialist (Finance)

Operations

Full Time

Remote

Experience

1-3 Years

Qualification

Bachelor's degree in any stream

Offered Salary

Based on experience

Posted On

30 January, 2026

Valid Till

2 March, 2026

Join Forage AI as a Data Specialist working with financial datasets. If you’re detail-oriented, comfortable with tech, and genuinely enjoy working with data, this could be a great fit. You’ll be part of a collaborative team alongside engineers building cutting-edge solutions in data science and automation.

Responsibilities:

Our finance data specialists play an integral role in ensuring that our clients consistently receive high-quality datasets in a timely manner. You will collaborate with our dev team to ensure the end-to-end completion of the ‘Extraction-QA-Feedback-Delivery’ process. You will meet our end goal of ensuring that our clients receive carefully curated datasets that are customized and structured as per their requirements. Here’s what you’ll do:

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    Extract, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
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    Research and troubleshoot issues associated with data and/or tools provided.
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    Catch and report bugs by highlighting trends and exceptions that require fixes.
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    Suggest process improvement ideas that will bring efficiency and structure to workflows.
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    Implement automation solutions to make our QA processes more robust and efficient.
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    Work closely with our team of developers to manage ETAs and deliverables
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    Assist our AI and RPA models by manually parsing data for delivery or process automation.
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    Conduct domain-specific preliminary research for building subject matter expertise
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    Own end-to-end operations process for your daily project deliverables.
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    Respond to client inquiries related to ongoing projects.

Requirements:

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    Must have at least a bachelor’s degree in any field. (Degrees in finance or commerce would be preferred)
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    Must have worked on Excel / Google Sheets for at least 1 year.
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    Good knowledge of the financial data industry and the capital market
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    Some hands-on experience in financial data handling and research
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    Familiarity with XPath, SQL, or any query/coding language would be a plus.
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    Excellent attention to detail and proven ability to perform under pressure.
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    A quick learner with a strong analytical mindset who is tech-savvy and enjoys working with data.
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    An open-minded, motivated self-starter with a positive approach to problem-solving.
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    An active listener who can effectively translate instructions into action.

Other Infrastructure Requirements:

Since this is a completely work-from-home position, you will also require the following –

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    High-speed internet connectivity for video calls and efficient work.
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    Capable business-grade computer (e.g., modern processor, 8 GB+ of RAM)
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    Dedicated workspace (at home) for uninterrupted and efficient work.
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    Headphones with clear audio quality.
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    Stable power connection and backups in case of internet/power failure.

Additional Information:

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    While we do have separate teams for AI & ML, this job does not guarantee an organic segue into these roles.
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    This is not an opportunity to develop a career solely in data visualization.

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