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bny mellon data teams work on fintech innovations and investment analytics solutions, knowledge of financial modeling, risk analysis, and big data adds strong value to your profile.this skill set is highly demanded in global banking and finance projects
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Analyzes and designs data models, logical databases and relational database definitions using both forward and backward engineering techniques.
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Basic understanding of blockchain, smart contracts, and digital asset management can boost your profile because company actively explores blockchain for secure financial transactions
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emerging skills like prompt engineering and generative ai are now in demand across banking projects, large language models such as gpt, llama, and gemini are used for real world data solutions
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experience with etl tools such as apache airflow can help you manage large scale data pipelines efficiently and knowledge of restful api design and development is also considered a strong plus for data engineer and analyst roles.
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