Good to Have Skills: Exposure to Machine Learning Techniques
:
4+ Years of experience with Developing/Fine tuning and implementing programs/applications
Using Python/PySpark/Scala on Big Data/Hadoop Platform.
Roles and Responsibilities
a) Work with a Leading Banks Risk Management team on specific projects/requirements pertaining to risk Models in consumer and wholesale banking b) Enhance Machine Learning Models using PySpark c) Work with Data Scientists to Build ML Models based on Business Requirements and Follow ML Cycle to Deploy them all the way to Production Workplace d) Participate Feature Engineering, Training Models, Scoring and retraining e) Architect Data Pipeline and Automate Data Ingestion and Model Jobs
Skills and competencies
Required
- Strong analytical skills in conducting sophisticated statistical analysis using bureau/vendor data, customer performance
Data and macro-economic data to solve business problems.
- Working experience in languages PySpark & Scala to develop code to validate and implement models and codes in
Credit Risk/Banking
- Experience with distributed systems such as Hadoop/MapReduce, Spark, streaming data processing, cloud architecture.
- Familiarity with machine learning frameworks and libraries (like scikit-learn, SparkML, tensorflow, pytorch etc.
- Experience in systems integration, web services, batch processing
- Experience in migrating codes to PySpark/Scala is big Plus
- The ability to act as liaison conveying information needs of the business to IT and data constraints to the business
applies equal conveyance regarding business strategy and IT strategy, business processes and work flow
- Flexibility in approach and thought process
- Attitude to learn and comprehend the periodical changes in the regulatory requirement as per FED