Lead Data Scientist- Collections Campaign
Lead Data Scientist- Collections Campaign
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Job Description
About Yubi
Yubi formerly known as CredAvenue is redefining 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 twosided 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.
Yubi Credit Marketplace With the largest selection of lenders on one platform our credit marketplace helps enterprises partner with lenders of their choice for any capital requirements.
Yubi Invest Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income
Financial Services Platform Designed for financial institutions to manage colending partnerships & assetbased securitization
Spocto Debt recovery & risk mitigation platform
Accumn Dedicated SaaS solutions platform powered by Decisiongrade data Analytics Pattern Identifications Early Warning Signals and Predictions to Lenders Investors and Business Enterprises
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 onlyofitskind 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 likeminded 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.
About the Role
We seek a skilled Lead Data Scientist to join our team and help build Collection Campaign Recommendations/ Optimizations
As a Lead 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 datadriven improvements in debt collection strategies.
Enhance existing models and incorporate new data sources to continuously optimize our approach.
Own the endtoend 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 nontechnical stakeholders.
Mentor train and support junior data scientists fostering a culture of continuous improvement and collaboration
Lead crossfunctional teams on data projects ensuring alignment between data science initiatives and business goals
Stay abreast of the latest industry trends tools and best practices in analytics and debt management.
Requirements
Experience: 8 to 10 years
Required Skills
Technical Skills
Indepth 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 endtoend 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
Bachelor s/Advanced degree in Data Science Statistics Mathematics Computer Science or a related field.
5 to 8 years of experience in the data science and machine learning domain
Experience in the financial sector or Collection team is a bonus.
Bachelor's degree in Computer Science Engineering or related technical field Experience working on Start-up Product(B2B,B2C,Saas Space) Experience managing projects across cross-functional teams, building sustainable processes and coordinating release schedules 3-5 years of experience with any of these skills ( Developer,QA, Product or any technical stream of SDLC) Experience in managing projects using project management software such as JIRA, Trello, or Asana Ability to work independently and manage multiple priorities Excellent communication and interpersonal skills
Employment Type
Full Time
Company Industry
Financial Services / Insurance Agencies and Brokerages / Investment Banking
