AddressAbout LenDenClub
LenDenClub is a leading peer-to-peer lending platform that provides an alternate investment opportunity to investors or lenders looking for high returns with creditworthy borrowers looking for short-term personal loans. With a total of 8 million users and 2 million+ investors on board, LenDenClub has become a go-to platform to earn returns in the range of 10%-12%. LenDenClub offers investors a convenient medium to browse thousands of borrower profiles to achieve better returns than traditional asset classes. Moreover, LenDenClub is safeguarded by market volatility and inflation. LenDenClub provides a great way to diversify one’s investment portfolio.
LenDenClub has raised US $10 million in a Series A round from an association of investors. With the new round of funding, LenDenClub was valued at more than US $51 million in the last round and has grown multifold since then.
Why work at LenDenClub
LenDenClub is a certified great place to work. The certification comes from the Great Place to Work Institute, Inc., a globally renowned firm dedicated to evaluating companies for their employee satisfaction on the grounds of high trust and high-performance culture at workplaces.
As a LenDenite, you will be a part of an enthusiastic and passionate group of individuals who own and love what they do. At LenDenClub we believe in creating leaders and with you coming on board you get to work with complete freedom to chase your ultimate career goal without any inhibitions.
Website - https://www.lendenclub.com
Role Requirements-
Hands-on experience in handling unstructured (image, video, audio) and build solutions using Deep Learning / Machine Learning- Experience in implementing object detection, GANs. Knowledge of reinforcement learning is a plus.
- Good grasp and detailed knowledge of any one deep learning library (PyTorch, Tensorflow, Caffe, etc.) is a must
- Experience with Data Visualization tools like Tableau, Microsoft Power BI, and SiSense
- Exposure to working on AI/Data Science/Analytics platforms like Microsoft AI, Amazon AI, IBM WATSON, H20, Knime
- Strong business acumen to understand business objectives & dynamics and possess excellent written and verbal communication skills for coordinating across teams
- Experience in analyzing complex problems and translating them to data science algorithms with due attention to computational efficiency and testing at scale.
- Experience in machine learning, supervised and unsupervised: Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Neural Networks, Deep Learning Algorithms.
- Work on end-to-end data science lifecycle: from building proof-of-concept models to production-ready models & working with engineers to deploy them to production
- Execute and take ownership of deep learning projects end-to-end. Good exposure to various deep learning algorithms and frameworks
- Should be able to effortlessly switch between roles of an Individual Contributor, team member, and data science manager as demanded by each project
- Figure out gaps in existing products and add intelligence to improve it
- Designing the frameworks in data sciences (R, Python, Azure ML, Amazon ML, Google ML, Spark, etc) to be used for relevant projects
- Keep updated on the latest research in AI and deep learning and find ways in which it can be used to solve business problems
- Must be able to read research papers (eg: some novel architectures, training techniques, etc.) and be able to implement it fully to solve our specific problems
