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Quantitative Analytic Specialist 2

Company: Wells Fargo
Location: Des Moines
Posted on: February 16, 2020

Job Description:

Job Description
Important Note: During the application process, ensure your contact information (email and phone number) is up to date and upload your current resume when submitting your application for consideration. To participate in some selection activities you will need to respond to an invitation. The invitation can be sent by both email and text message. In order to receive text message invitations, your profile must include a mobile phone number designated as "Personal Cell" or "Cellular" in the contact information of your application.
At Wells Fargo, we want to satisfy our customers' financial needs and help them succeed financially. We're looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where you'll feel valued and inspired to contribute your unique skills and experience.
Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.
Enterprise Finance drives financial management for the company and maintains and enhances risk and financial controls. Key functions within Enterprise Finance include finance and accounting; Treasury; corporate development, mergers, and acquisitions; Data Management and Insights, the Customer Remediation Center of Excellence, Enterprise Shared Services, Business Process Management, and Corporate Strategy. Enterprise Finance informs shareholders, regulators, taxing authorities, team members, and leaders of the company's financial performance through earnings releases, investor meetings and conferences, and meetings with regulators and credit rating agencies, following appropriate reporting guidelines. They also maintain and enhance risk and financial controls and lead many of the company's shared services functions including corporate properties, security, and global services.
The Natural Language Processing (NLP) Data Science team in the Artificial Intelligence Model Development Center of Excellence (AI MD CoE) team is a data science team, responsible for developing and deploying NLP, machine learning (ML), and AI solutions for the enterprise. They work on key strategic Enterprise initiatives such as customer experience improvement, risk management and compliance, business operational excellence, and team member experience. The team is looking for an experienced analytics professional to add to its NLP conversational AI (chatbot) model development team.
As part of the NLP data science team for chatbot model development, you will be responsible for researching, designing, developing, and implementing NLP models for conversational AI solutions across the enterprise and Wells Fargo lines of business. You will be leveraging unstructured text such as chats, emails, text messages, notes, voice data and semi-structured data in combination of structured data to build Chatbot models using deep learning and machine learning techniques. You will use open stack programming languages and/or vendor solutions to develop models and deploy them on Wells Fargo's AI/chatbot platform. You will deliver and deploy AI/ML models on the Well Fargo AI open source platform to scale these solutions and embed them in the operational processes.
The ideal candidate should be able to research SOTA techniques for NLP and chatbot related advancement across industry and academia; quickly test and experiment with ideas and existing open source materials; and think outside the box to uncover new ways to analyze unstructured data in conjunction with analytical tools to answer complicated business questions. As part of the model development team, you will be responsible of delivering solutions that meet business needs as well as any efforts related to model documentation and reviews to ensure the modeling processes and procedures meet corporate model risk policies and requirements.
KEY RESPONSIBILITIES INCLUDE:
As part of the NLP data science team focusing on Conversational AI models across the enterprise, you will work within the team to follow and develop solutions according to our analytic process:

  • Partner with LOB business executives to frame the problem and define/identify business objectives
  • Identify/assess data sources
  • Research, and quickly experiment and implement working prototypes for testing new ideas
  • Design, develop, and deploy AI/ML/deep learning models using state of the art NLP and ML techniques available in the open stack and/or vendor solutions
  • Data visualization
  • Communication of results
  • Responsible for model development document and monitoring processes
  • Drive continuous process improvement, and increase the efficiency and quality of AI project deliveries
  • Adhere to corporate model risk policy and ensure compliance with model risk management policies
  • Working with other data science teams to identify, gather, retain, and publicize modeling artifacts required for approved and repeatable processes
  • Contribute to NLP data science teams' group effort to stay concurrent with the cutting edge and bleeding edge of NLP/ML/DL algorithms, methodologies in the open source community and vendor solutions.
  • Work with AI technology and production teams to operationalize models
  • May be called upon to review vendor models and solutions and/or models developed outside of EADSDIVISIONAL INFORMATION
    Enterprise Finance drives financial management for the company and maintains and enhances risk and financial controls. Key functions within Enterprise Finance include finance and accounting; Treasury; corporate development, mergers, and acquisitions; Data Management and Insights, the Customer Remediation Center of Excellence, Enterprise Shared Services, Business Process Management, and Corporate Strategy. Enterprise Finance informs shareholders, regulators, taxing authorities, team members, and leaders of the company's financial performance through earnings releases, investor meetings and conferences, and meetings with regulators and credit rating agencies, following appropriate reporting guidelines. They also maintain and enhance risk and financial controls and lead many of the company's shared services functions including corporate properties, security, and global services.
    Data Management and Insights (DMI) is transforming the way that Wells Fargo uses and manages data. Our work enables Wells Fargo to empower and inform our team members, deliver exceptional experiences for our customers, and meet the elevated expectations of our regulators. The team is responsible for designing the future data environment, defining data governance and oversight, and partnering with technology to operate the data infrastructure for the company. This team also provides next generation analytic insights to drive business strategies and help meet our commitment to satisfy our customers' financial needs.

    Required Qualifications
    • 2+ years of development experience with languages such as Python, Java, Scala, or R
    • A PhD in statistics, mathematics, physics, engineering, computer science, economics, or quantitative field; or a Master s degree in the above areas with 2+ years of experience in one or a combination of the previously mentioned fields above

      Desired Qualifications
      • Ability to work and influence successfully within a matrix environment and build effective business partnerships with all levels of team members
      • Strong analytical skills with high attention to detail and accuracy
      • 2+ years of experience in Artificial Intelligence, Natural Language Processing, Machine Learning, Distributed Computing, Chatbot, and Virtual Assistant
      • Knowledge and understanding of Machine Learning, Deep Learning, Linear Regression, Models (Tensor Flow)

        Other Desired Qualifications
        • Experience in one or a combination of the following: computer science, computational linguistics, engineering, analytics, or statistical modeling, and/or research in the area
        • Experience of machine learning and deep learning models and frameworks
        • Knowledge of libraries like scikit-learn, keras, Tensorflow, PyTorch
        • Experience building virtual assistants using Dialog flow, Microsoft Bot Framework, Rasa or in any popular Bot Building frameworks; Knowledge on IVR based application platforms and Conversational IVR
        • Hands on experience writing data processing and data pipeline for Chatbot model development including gathering and building datasets to collect intents, cleaning messy data, designing feedback loop on data needs
        • Experience building intent recognition and classification models. Experience with phrase level identification. Hands on experience with data labeling design for intent classification
        • Experience with model governance requirements. Able to de-mystify AI models to make them transparent and explainable
        • Knowledge and/or experience with the following:Implementing solutions with common NLP frameworks and libraries in Python (NLTK, spaCy, gensim) or Java (Stanford CoreNLP, NLP4J)
          Common NLP techniques, such as
          oPre-processing (tokenization, part-of-speech tagging, parsing, stemming)
          oSemantic analysis (named entity recognition, sentiment analysis)
          oModeling and word representations (TF-IDF, LSA, LDA, word2vec)
          oHands on experience with BERT, ELMO, XLnet, GPT models
          Data engineering skills (deploying analytical solutions across an organization in a production format)
          • Experience using GitHub for version control and collaboration; developing python libraries to streamline pipelines
          • Knowledge of Computer Science fundamentals in data structures, algorithm design, problem solving and complexity, scalability analysis
          • Experience with active learning and reinforcement learning
          • Experience with an object oriented language like Java
          • Knowledge of libraries like S4TF a plus

            Disclaimer

            All offers for employment with Wells Fargo are contingent upon the candidate having successfully completed a criminal background check. Wells Fargo will consider qualified candidates with criminal histories in a manner consistent with the requirements of applicable local, state and Federal law, including Section 19 of the Federal Deposit Insurance Act.



            Relevant military experience is considered for veterans and transitioning service men and women.

            Wells Fargo is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation.

Keywords: Wells Fargo, Des Moines , Quantitative Analytic Specialist 2, Other , Des Moines, Iowa

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