The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team.
The overall objective of this role is to contribute to applications systems analysis and programming activities.
Python developer with experience in developing python applications with good skills in python libraries for development of Risk and Finance analytical applications that provide sensitive data to senior management.
Application involves large volume data analysis and data loads. The candidate must have 4-7 years software development experience in python with expert level skill set in pandas, numpy and scipy.
Should be able to design, review and suggest improvements, guide junior team members and deliver in an agile environment.
Expert level knowledge of python libraries such as pandas, numpy and scipy and databases
Strong computer science fundamentals in data structures, algorithms, databases and operating systems
Experience developing high-performance applications.
Good analytical and logical skills.
Hands experience in writing SQL queries.
Experience with source code management tools such as RTC, SVN.
Knowledge of machine learning techniques using python is plus.
3-6+ years’ experience in software development and 3+ years’ of experience in python based applications is a must.
Hands on experience in developing python based applications.
Hands on experience on working with RDBMS
Exposure to financial data analytics is a plus
Knowledge of financial products is a plus
Very good understanding of the fundamentals of the python programming.
Understanding the data structures in python
Deep understanding of the python libraries such as pandas, numpy, scipy and matplotlib etc.
Very good understanding of RDBMS concepts and SQL
Articulation / Written and verbal communication.
Understanding of machine learning techniques (classification, clustering) machine learning, deep learning and neural networks are good to have.
Bachelor’s degree / University degree or equivalent experience