Data Engineer

Requirements

• Expertise :
• 0-1 years of experience in data science/risk management /quantitative modeling / financial models
• Domain knowledge on esp.financial data & risk, fraud & quant. models is an added advantage
• Domain & Data Requirements
• Prior experience in working with B2B data & building models for the same is an added advantage
• Prior experience in using classic ML models for credit risk quantification (for retail or institutional)
• Experience & willingness to handle cross team stakeholders to understand the domain & build accurate useful models.
• Should be willing to identify project areas that are patentable & works towards it
• Tech Requirements
• Hands on experience in at least one programming language like Python & one querying language
• Prior experience in code development using frameworks & technologies like Scikit, scipy etc.,.
• Prior experience in working with databases like mongoDB, Postgres, SQL etc.,
• Prior experience in working with cloud technologies, preferably AWS
• Strong understanding of ML model life cycle i.e. development, training, testing & monitoring