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Responsibilities:
Qualifications:
Proficient in data handling suites PYTHON, Spark, R, HIVE, SAS, SQL, or similar packages
Strong ability to extract strategic insights from large data sets
Experience in Design and implementation of machine learning models and algorithms to solve complex business problems with exposure to machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
Adept at using Statistical (like forecasting/modeling, data analysis, regression/optimization models), Machine Learning (GBM, Decision Trees etc.) & AI techniques (Deep Learning)
Strong aptitude, ability, motivation, and interest in placing quantitative analysis in the context of Finance/risk domain and/or business economics.
Experience in working on Visualization tools like Tableau, POWER BI, etc.
Skilled core python developer with extensive development expertise in building the high scaled and performant software platforms for data computation and processing
Expert level knowledge of core python concepts and libraries such as pandas, NumPy and SciPy and well versed with OOPs concepts and design patterns.
Strong computer science fundamentals in data structures, algorithms, databases, and operating systems.
Highly experienced with Unix based operating systems and Hands-on experience in writing SQL queries.
Experience with source code management tools such as Bitbucket, Git etc.
Education:
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Time Type:
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