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NatWest Services

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4.0

based on 1 Review

98 NatWest Services Jobs

Data & Analytics Analyst

National Westminster Bank (NatWest)

4.0

based on 1 Review

8-10 years

Chennai, Gurgaon / Gurugram

1 vacancy

Data & Analytics Analyst

NatWest Services

posted 2mon ago

Job Role Insights

Key skills for the job

Data Analysis Data Analytics Back Office Investment Banking SQL Analytical Chemistry

+ 4 more

Job Description

Building predictive models using advanced statistical and machine learning techniques to inform funding predictions, settlement failures, and risk assessment, and to build customer insights
Applying various text analytics techniques such as NLTK, Gensim, Word2Vec, FastText, and GLOVE, and deploying models on intent or sentiment analysis
Collaborating with other tech teams to deploy GenAI assistants, optimise prompt builder and lead GenAI foundation capabilities
Implementing visualisations to track performance metrics and KPI, preferably using Matplotlib, Plotly, and Bokeh, and deployment using Streamlit and Flask
Leveraging cloud platforms such as AWS, Azure, GCP, Snowflake and services such as SageMaker, S3, Bedrock, Azure OpenAI, Snowflake GenAI and DocumentAI
Staying up to date with new data science techniques, tools, and industry best practices to continuously improve analytics capabilities

The skills youll need

You ll need a background in business analysis tools and techniques, along with the ability to influence through communications tailored to a specific audience. Along with the ability to use core technical skills, you ll have strong analytic and problem solving abilities, and a keen eye for detail. Experience with data visualisation using python tools like Tableau, Power BI, or similar platforms would be beneficial, as would knowledge of finance and investment banking principles.

Additionally, you ll need:

8-10 years of professional experience, at least three of which in data science, ideally within investment banking, financial services, or a related industry
Proficiency in Python, with strong skills in statistical and machine learning libraries covering pandas, scikit-learn, TensorFlow, NLTK, and Streamlit
Hands-on experience with SQL and databases for data extraction, transformation, and loading covering PyODBC and SQL Alchemy
Experience with cloud platforms such as AWS, Azure, GCP, and Snowflake

Employment Type: Full Time, Permanent

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