Advanced Quantitative Analytics Lead

7 hours ago


Bengaluru, Karnataka, India WELLS FARGO BANK Full time
Job Overview

We are seeking a skilled Advanced Quantitative Analytics Lead to join our team at Wells Fargo Bank. In this role, you will be responsible for leading complex analytics initiatives and collaborating with cross-functional teams to deliver high-impact projects.

About the Role

The Advanced Quantitative Analytics Lead will be responsible for:

  • Leading the development and implementation of advanced statistical models and machine learning algorithms
  • Collaborating with business stakeholders to identify areas for improvement and developing data-driven solutions
  • Analyzing large datasets to identify trends and patterns and providing insights to inform business decisions
  • Developing and maintaining modular codebases for reusability and efficiency
  • Working closely with multiple teams to deploy models to production and ensuring seamless integration with existing systems
Required Qualifications

To be successful in this role, you will need:

  • 5+ years of experience in quantitative analytics or a related field
  • A Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
  • Expertise in machine learning and deep learning techniques, including TensorFlow, Keras, and PyTorch
  • Strong programming skills in languages such as Python and R
  • Experience working with large datasets and ability to analyze complex data sets
Benefits and Expectations

This is a full-time position that offers a competitive salary and benefits package, including health insurance, 401(k) matching, and paid time off. We also offer opportunities for professional growth and development, as well as a dynamic and supportive work environment. The expected salary range for this role is $120,000 - $160,000 per year, depending on experience and qualifications. If you are a motivated and talented individual who is passionate about analytics and machine learning, we encourage you to apply for this exciting opportunity.



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