About Yubi
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 worlds 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 Indias 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. Our platforms shake up the traditional debt ecosystem and offer new ways of digital finance.
Spocto - Debt recovery & risk mitigation platform
So far we have onboarded more than 17000 enterprises 6200 investors and lenders and facilitated debt volumes of over INR 140000 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 1000 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.
We seek a skilled Data Scientist to join our team and help build Collection Campaign Recommendations/ Optimizations
As a Data Scientist you will be key in designing developing and deploying ML/ RL models that experiments and optimizes the collection campaigns across digitaltelecalling and field. Your experience in machine learning and strong Python programming skills will be crucial in driving innovation and business value for our clients.
Key Responsibilities
Develop implement and maintain advanced analytical models and algorithms specifically geared toward improving debt collection processes.
Collaborate with business stakeholders to identify key opportunities for data-driven improvements in debt collection strategies.
Enhance existing models and incorporate new data sources to continuously optimize our approach.
Own the end-to-end process of metric design tracking and reporting related to debt collection performance.
Continuously improve and update metrics to align with business objectives and regulatory requirements.
Communicate findings effectively with both technical and non-technical stakeholders.
Stay abreast of the latest industry trends tools and best practices in analytics and debt management.
Required Skills
Technical Skills
In-depth understanding of machine learning algorithms (supervised unsupervised and ensemble methods) and their application to risk.
Expertise in statistical analysis including hypothesis testing regression analysis probability theory and data modeling techniques to extract insights and validate machine learning models.
Experience in designing developing and delivering end-to-end data products and solutions.
Expertise in model explainability techniques (e.g. SHAP LIME) and regulatory compliance for risk models.
Strong proficiency in Python.
Working knowledge of PySpark ( Good to have )
Proficiency in building and deploying models on cloud platforms (AWS).
Proficiency in developing backend microservices using Fast API and working knowledge of MLOps.
Experience with NLP techniques is good to have
Domain Skills ( Good to have )
Prior domain expertise in debt collection processes including credit risk assessment regulatory compliance and industry best practices.
Proven ability to design implement and optimize performance metrics and key performance indicators tailored specifically for debt recovery initiatives.
Education and Experience
Bachelors/Advanced degree in Data Science Statistics Mathematics Computer Science or a related field.
Experience in the financial sector or Collection team is a bonus.
1 to 3 years of experience in the data science and machine learning domain
About YubiYubi formerly known as CredAvenue is re-defining global debt markets by freeing the flow of finance between borrowers lenders and investors. We are the worlds possibility platform for the discovery investment fulfillment and collection of any debt solution. At Yubi opportunities are plenty...
About Yubi
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 worlds 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 Indias 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. Our platforms shake up the traditional debt ecosystem and offer new ways of digital finance.
Spocto - Debt recovery & risk mitigation platform
So far we have onboarded more than 17000 enterprises 6200 investors and lenders and facilitated debt volumes of over INR 140000 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 1000 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.
We seek a skilled Data Scientist to join our team and help build Collection Campaign Recommendations/ Optimizations
As a Data Scientist you will be key in designing developing and deploying ML/ RL models that experiments and optimizes the collection campaigns across digitaltelecalling and field. Your experience in machine learning and strong Python programming skills will be crucial in driving innovation and business value for our clients.
Key Responsibilities
Develop implement and maintain advanced analytical models and algorithms specifically geared toward improving debt collection processes.
Collaborate with business stakeholders to identify key opportunities for data-driven improvements in debt collection strategies.
Enhance existing models and incorporate new data sources to continuously optimize our approach.
Own the end-to-end process of metric design tracking and reporting related to debt collection performance.
Continuously improve and update metrics to align with business objectives and regulatory requirements.
Communicate findings effectively with both technical and non-technical stakeholders.
Stay abreast of the latest industry trends tools and best practices in analytics and debt management.
Required Skills
Technical Skills
In-depth understanding of machine learning algorithms (supervised unsupervised and ensemble methods) and their application to risk.
Expertise in statistical analysis including hypothesis testing regression analysis probability theory and data modeling techniques to extract insights and validate machine learning models.
Experience in designing developing and delivering end-to-end data products and solutions.
Expertise in model explainability techniques (e.g. SHAP LIME) and regulatory compliance for risk models.
Strong proficiency in Python.
Working knowledge of PySpark ( Good to have )
Proficiency in building and deploying models on cloud platforms (AWS).
Proficiency in developing backend microservices using Fast API and working knowledge of MLOps.
Experience with NLP techniques is good to have
Domain Skills ( Good to have )
Prior domain expertise in debt collection processes including credit risk assessment regulatory compliance and industry best practices.
Proven ability to design implement and optimize performance metrics and key performance indicators tailored specifically for debt recovery initiatives.
Education and Experience
Bachelors/Advanced degree in Data Science Statistics Mathematics Computer Science or a related field.
Experience in the financial sector or Collection team is a bonus.
1 to 3 years of experience in the data science and machine learning domain
View more
View less