Job Description

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 first possibility platform for the discovery, investment, fulfilment, 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 5 of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance.
Yubi Loans – Term loans and working capital solutions for enterprises.
Yubi Invest – Bond issuance and investments for institutional and retail participants.
Yubi Pool– End-to-end securitisations and portfolio buyouts.
Yubi Flow – A supply chain platform that offers trade financing solutions.
Yubi Co.Lend – For banks and NBFCs for co-lending partnerships.

Currently, we have onboarded over 4000+ corporates, 350+ investors and have facilitated debt volumes of over INR 40,000 crore.
Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment.
At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 650+ like-minded individuals today, who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact.
Come, join the club to be a part of our epic growth story.
Inviting applications for the role of Data Labeller

Responsibilities

• 
  Work with image, text, audio data. Work on data labeling tool(s) such as AWS Sagemaker Ground Truth and annotate data for machine learning models. Sift through structured and unstructured data; identify the right content and annotate with the right label.
• Collaborate with stakeholders including machine learning engineers, data scientists, data engineers and product managers.
• Work on engagements from understanding the business objective through the data identification, annotation and validation.
• Comprehend the subtleties of language used in the financial industry. Conduct research and bring clarity in business definitions and concepts. Annotate the terms, phrases, and data as per the project requirement.
• Understand and define the relationship among entities.
• Validate model results from the business perspective and provide feedback for model improvement.
• Effectively communicate data annotation concepts, process and model results to both technical and business audiences. Break down ML annotation topics in a clear manner.
• Adapt to changes in guidelines, priorities and environments
• Transcribe verbatim audio recordings, single and multi-speaker of varying dialects and accents and identify relevant keywords and sentiment labels
• Build a thorough understanding of data annotation and labeling conventions and develop documentation/guidelines for stakeholders and business partners
• Develop key workflows, processes and KPIs to measure annotation performance and assess quality.
• Become a subject matter expert and trusted advisor to your business partners to create and structure new annotations, labels and sub-labels.
• Build rapport with clients and understand the business use-case. Work with business/stakeholders to forecast annotation needs and build roadmap and hiring plans
• Collaborate with ML engineering teams to simplify annotation workflows and improve ML model performance.
• Research and identify outside vendors to annotate data which may include negotiating pricing and scheduling annotation jobs.

Requirements

• 
  Strong financial knowledge. Full-time bachelor degree.
• 2-5 years of hands-on experience in data collection, analysis or research and leading a team
• Should be able to work both individually and collaboratively in teams, in order to achieve project goals.
• Must be curious, hardworking and detail-oriented, and motivated by complex analytical problems and interested in data analytics techniques.
• A working level domain knowledge on machine learning concepts

Benefits

Apart from the unique opportunity of transforming the debt market, our benefits include:
One can never stop learning so we have a dedicated budget of INR 75,000/year that you can use towards pursuing learning programs/certifications/attending conferences
Best in industry healthcare for you and your family: Life insurance (10X your Fixed annual CTC) and Critical Illness cover (7X your Fixed annual CTC)
Generous health insurance for you as well as your dependents, including parents or Parents in-laws up to INR 800,000 for self and dependents
Child care reimbursement of 15k per month per child for all working parents towards nanny/creche expenses.
Food is on the house. So that you can focus on what matters the most.
Best in class Maternity & paternity benefits.