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Senior Quantitative Analytics Specialist

4 months ago

Bengaluru, India WELLS FARGO BANK Full time
About the Role

Wells Fargo is seeking Senior Quantitative Analyst/Data Scientist role and is responsible for delivering high impact analytic and data science projects by using analytics and AI.
Primary role of the advanced analytics consultant in the AI Model Development COE is to apply business knowledge and advanced programming skills and analytics to serve as a subject matter expert, analyst, advisor and consultant to support model lifecycle - model development, performance testing, data analysis, model implementation, model production, delivery of model results, change management, documentation and governance.

In this role, you will
  • Person would be required to work individually or as part of a team on data science projects and work closely with business partners.
  • Perform Data wrangling activities.
  • He/she would be developing statistical/machine learning models using various techniques (supervised, unsupervised, semi-supervised) and technologies including but not limited to Python, R, SAS, Spark, H2O, Aster etc.
  • Define business problem and translate it into analytical problem.
Required Qualifications:
  • 4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Experience in Generative AI and Prompt Engineering
  • Experience in various aspects of Natural Language Processing (NLP) such as regular expression, feature extraction, topic modeling etc. is must.
  • Experience with supervise , unsupervised & semi supervise learning
  • Experience with Deep-learning, Artificial intelligence techniques
  • Understand basics of Image/Voice processing, digital analytics, deep learning, machine learning
  • Good command over Excel, data management.
Desired Skills
  • Working expertise in Tensorflow, Keras or Pytorch would be added advantage
Posting End Date:
30 Aug 2024
*Job posting may come down early due to volume of applicants.

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