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Mid LevelFull-timePythonAzureTensorFlowAgileGitAIML
Salary Range
$32,725 - $44,275 /year
This salary is estimated based on similar roles. The actual salary may vary.
Key Responsibilities
- →Provide advisory services on data analysis and identify opportunities for leveraging data in the Bank’s business processes.
- →Consult on the design of analytical and predictive models, including areas such as AML, fraud detection, and operational optimization.
- →Advise on data quality, structure, and integration possibilities with source systems.
- →Support in defining requirements for analytical environments and data platforms.
- →Recommend approaches for data exploration, visualization of results, and interpretation of models.
Requirements
- ✓Proficiency in analytical tools and programming languages (e.g., Python, R, SQL) and familiarity with ML/AI libraries (e.g., scikit-learn, TensorFlow).
- ✓Experience in providing data analysis advisory services within the financial sector.
- ✓Ability to design and evaluate statistical, predictive, and classification models to support business objectives.
- ✓Strong understanding of data quality, processing, and preparation techniques for analytical purposes.
- ✓Knowledge of analytical platforms and data environments (e.g., Databricks, Azure ML, SAS, Hadoop).
- ✓Preferred Skills
- ✓Experience in IT project consulting within banking.
- ✓Understanding of regulatory frameworks impacting retail banking.
- ✓Ability to recommend innovative solutions for process optimization.
