Data analyst

Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it.

In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million.

In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. All of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance.

About the Role:

We are looking for a detail oriented analyst to support the operations of our Bank Statement Analyzer tool. In this role, you will be responsible for reviewing system generated extractions, correcting failures, and ensuring the high accuracy of data processed from bank statements. You will play a critical role in refining our extraction models by identifying error patterns and contributing to ongoing product testing.

Review and Validate Extracted Data:

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  Correction of Extraction Failures: Review bank statements where the system-generated extraction fails; you are expected to review the document and make the necessary corrections manually to ensure data integrity.

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  Accuracy Checks: Identify and correct issues such as missing values, incorrect figures, duplicate entries, or partial extractions.

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  Validation: Validate that extracted values are logically consistent and reflect the correct transaction details and dates.

Pattern Recognition and Prioritization

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  Error Pattern Analysis: Monitor and check for extraction error patterns to prioritize the error types that need to be fixed at the earliest.

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  Structured Feedback: Provide structured feedback on recurring issues or edge cases to enhance model accuracy.

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  Rule Development Support: Collaborate with the team to define validation rules that help detect omissions or inconsistencies automatically.

Testing and Continuous Improvement

Model Testing: Contribute towards the subsequent testing of new extraction models to ensure they meet quality standards before release. Participate in testing cycles for new product features or updates impacting data interpretation.

Experience and Education

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  Experience: Candidates must have 1-2 years of relevant professional experience.

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  Educational Background: A background in Commerce or Finance (e.g., B.Com) is preferred but not mandatory if the candidate possesses strong data skills.

Technical & Operational Skills

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  Spreadsheet Proficiency (Mandatory): Strong skills in MS Excel and Google Sheets are required. Candidates must be proficient in the usage of filters, basic formulas, and Excel functionalities.

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  Data Entry Skills: High proficiency in data entry is required, with an emphasis on speed and precision.

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  Attention to Detail: Exceptional attention to detail with the ability to identify errors, inconsistencies, or missing information in data.

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  Independence: Ability to work independently and manage operational tasks with a high degree of accuracy.