Role : Data Scientist
Experience : 2-5 years
Location : Bangalore
Qualification : Any Graduate
Working Days : 5 days a week
Website: https://liquide.life/
About Liquide
Liquide is a well-funded ex-McKinsey/IIT/IIM/BITS wealth-tech startup which aspires to change the way young India Invests. We are a fast-growing team focused at providing cutting edge investment solutions to bring premium wealth advisory and social investing to the young investors.
Join us if:
- you want to disrupt one of the most traditional industries in India
- been longing to join an early age well-funded startup with a rock star team
- get excited by open culture and freedom to innovate
Our app is live on android and iOS - here’s the link, do check it out:
https://liquidelife.page.link/download
Your role as a DATA SCIENTIST will have the following responsibilities:
- Build and implement risk profiling models and asset allocation models
- Build ML models and create investing strategies for fundamental, technical and market news and sentiment analysis
- Build and implement stock ratings and ML recommendation models across multiple customer micro-segments
- Monitor model performance, KPI metrics and Update and auto-tune ML models periodically, as required
Qualifications:
- Min 2-3 yrs experience as Data Scientist, working on AWS cloud
- Strong AI/ML model development background with experience in Python (preferred), R
- Built ML based regression and classification models, timeseries, recommendation systems, clusters/segmentation, cross-validation, RF, GB, GLM, LSTM, Neural net etc models in Python
- Hands-on experience working on projects on the AWS cloud - Jupyter notebook, Lambda, Glue, Sagemaker Studio, EC2, EMR, Lambda, Endpoint deployment
- Applicants having experience is building quant algorithms and trading strategies preferred