About Credgenics:

Credgenics is India’s first of its kind NPA resolution platform backed by credible investors including Accel Partners and Titan Capital. We work with financial institutions, Banks, NBFCs & Digital lending firms to improve the efficiency of their collection using technology, automation intelligence and optimal legal routes to facilitate the resolution of stressed assets. With all major banks and NBFCs as our clients, our SaaS-based collections platform helps them efficiently improve their NPA, geographic reach and customer experience. We count most of India's lending majors as our clients such as ICICI Bank, Axis Bank, Bank of Baroda, etc and have been able to grow 100% MoM consistently even among the pandemic.

Role:

We’re looking for a passionate Data Scientist to join our high-growth team. In this role, you will get the opportunity to help build the Data Science vertical for the Collections and Lending space.

What you'll be doing:

You will be responsible for working within a team of data scientists and data engineers solving the challenges within the debt lifecycle for Banks, NBFCs and FinTech companies operating in the lending space. You will provide portfolio insights to clients enabling them to reduce costs and improve their recovery efficiency. This opportunity will enable you to deepen your skills, build on your data science knowledge, and work within a global fintech community.

● Identify opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build, test, and validate predictive models

● Create algorithms to extract information from large, multiparametric data sets

● Deploy your algorithms to production to identify actionable insights from large databases

● Compare results from various methodologies and recommend best techniques

● Develop and embed automated processes for predictive model validation, deployment, and implementation

● Architect ML pipelines and actively contribute high-quality, production-ready code (readable, well-tested, with well-designed APIs)

● Actively mentor Interns and Junior data scientists on good software practices

What we need:

● An undergraduate degree in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science or related quantitative field

● 2 - 3 years of experience in a similar role

● Intermediate to advanced Python skills.

● Experience with at least one Deep Learning framework such as PyTorch or TensorFlow/Keras

● Expert understanding of ML best practices

● Solid understanding of ML/DL methods and architectures and mastery of performance assessment

● Demonstrated ability to develop novel machine learning methods that go beyond putting together of existing code, and to apply problem-solving skills to complex issues

● Ability to work autonomously and collaboratively as part of a team to both teach and learn every day

● Continuously looking for opportunities to learn, build skills and share learning.

● Familiarity with cloud computing services (AWS, GCP, or Azure)