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AVP, Data Analyst (Visualization, Python)

AVP, Data Analyst (Visualization, Python)

JefferiesNew York, NY, United States
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Jefferies Financial Group Inc. (‘‘Jefferies,’’ ‘‘we,’’ ‘‘us’’ or ‘‘our’’) is a global full service, integrated investment banking and securities firm. Our largest subsidiary, Jefferies LLC, a broker-dealer, was founded in the in and our first international operating subsidiary, Jefferies International Limited, a broker-dealer, was established in the in . Our strategy focuses on continuing to build out our investment banking effort, enhancing our capital markets businesses and further developing our asset management platform. We offer deep sector expertise across a full range of products and services in investment banking, equities, fixed income, asset and wealth management in the Americas, Europe and the Middle East and Asia.

We are seeking a Data Analyst with a strong foundation in Data Science to help drive data-driven decision-making. The ideal candidate will have expertise in data analysis, statistical modeling, machine learning, and data visualization to extract actionable insights from complex datasets.

Key Responsibilities :

  • Collect, clean, and preprocess data from various sources.
  • Perform exploratory data analysis (EDA) to identify trends and patterns.
  • Develop and implement predictive models and machine learning algorithms.
  • Create data visualizations and dashboards to communicate insights effectively.
  • Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
  • Ensure data integrity, security, and compliance with relevant regulations.
  • Stay updated with the latest data science techniques and industry trends.

Required Skills & Qualifications :

  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
  • Proficiency in Python, R, SQL
  • Strong understanding of machine learning algorithms, statistical analysis, and data mining techniques.
  • Excellent problem-solving skills and ability to translate business needs into data-driven solutions.
  • Prior experience in Capital Markets is highly preferred.
  • Preferred Qualifications :

  • Experience with deep learning frameworks (TensorFlow, PyTorch).
  • Knowledge of Natural Language Processing (NLP) and Time Series Analysis.
  • Familiarity with ETL processes and data pipeline automation.
  • The salary range for this position is $,-$,

    LI-BJ

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    Data Analyst • New York, NY, United States