BNYMellonInternationalOperations(India) PrivateLim ited | Jobs | Hiring For Data Science role in BNY Mellon | BigDataKB.com | 02-04-22

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    Job Location: Pune

    Role and Responsibilities:

    As a member of the AI / ML Model Development team, you will have the opportunity to deliver tangible value and advance the digital agenda across the risk and compliance by accelerating effective use of advanced analytics. We want someone who has an excellent knowledge of statistics and machine learning. Additionally, you must love writing code and have exceptional programming skills

    • Lead in the development, validation and delivery of algorithms, statistical models and reporting tools.
    • Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions.
    • Collaborate with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics.
    • Interact with internal and external peers and managers to exchange complex information related to areas of specialization.
    • Use strong programming skills to explore, examine and interpret large volumes of data in various forms.
    • Work with cross-functional teams to gather, wrangle, cleanse, and structure data and build models that are aligned with measurable business outcomes.
    • Work with current databases to build pipelines for manipulation, visualization, and descriptive/predictive modeling
    • Driving / promoting best practices on effective use of AI solutions

    Qualifications:

    • Advanced Degree in Mathematics, Computer Science, Engineering or a related discipline, or equivalent work experience required.
    • 4+ years of industry experience in analytics, data science or related field

    Skills and Competencies:

    • Deep understanding of statistical concepts including descriptive analysis, experimental design, Bayesian statistics, sub-setting, and regression
    • Proficiency with statistical and machine learning techniques including generalized linear model/regression, random forest, boosting, trees, text mining, social network analysis, dimensionality reduction algorithms
    • Proficiency with deep learning techniques such as neural networks, sequential models for NLP, Computer Vision
    • Knowledge of robotic process automation tools
    • Stellar programming ability in Python
    • Proficiency with frameworks including TensorFlow, Torch, scikit-learn, Keras, etc.
    • Visualizing and presenting data for stakeholders using: plotly, seaborn, ggplot, etc
    • Experience working in a production environment including best practice tools
    • Ability to communicate complex concepts in easy-to-understand terminology
    • Excellent analytical and problem-solving skills
    • Able to deal well with uncertainty and unstructured problems to be solved    
    • Experience in the financial services (banking, insurance, or asset management) industry a plus
    • Looking for only diversity candidates

    Apply Here

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