Quantitative Analytics Specialist 3 - AI MD CoE

Company: Wells Fargo
Location: Atlanta
Posted on: July 1, 2020

Job Description:

Job DescriptionImportant 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. Were looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where youll 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.

***THIS POSITION WILL BE BASED OUT OF ATLANTA, GA AND CANDIDATES ARE EXPECTED TO BE ONSITE 3-4 DAYS/WEEK IN THIS LOCATION. RELOCATION ASSISTANCE IS AVAILABLE.***

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.

The Artificial Intelligence Model Development Center of Excellence (AI MD CoE) is a data science team, responsible for developing and deploying machine learning, NLP, and AI solutions for a number of domain areas such as fraud prevention, credit risk, experience personalization, customer listening, risk and compliance, anomaly detection and operational improvement. The CoE partners closely with the AI Enterprise Solutions and the AI Technology teams at the bank, and brings a cross-functional approach to identifying, developing and deploying AI solutions. The CoE requires high-skill/ high-motivation individuals who enjoy working collaboratively in a team setting, used to taking decisions autonomously and comfortable with a dynamic work environment.

Data Science teams in the AI MD CoE will be responsible for developing and deploying machine learning, and AI solutions for key strategic Enterprise, working in small agile pods working on individual initiatives. The AI MD CoE is looking for an experienced AI model professional to add to its structured-data machine learning, or NLP model development teams.

Within the individual pods, you will be responsible for designing, developing, and implementing AI/ML models to support various initiatives across the enterprise. You will leverage structured data sources both internal and external to the Bank, as well as unstructured data such as emails, text messages, notes, voice data, and semi-structured data in combination of structured data to build Machine Learning/Deep Learning solutions using open stack languages (mainly Python/PySpark/PyTorch) as well as commercial tools like H2O. You will collaborate with LOB organizations to frame the problem, explore various modeling methodologies and tools to deliver business solutions according to timelines. Collaborating with WF AI Tech, AI business, and LOB leads, you and your team will develop, deliver, and deploy AI/ML models on the Wells Fargo AI open source platform, and operationalize them for business use. You expect to follow and contribute to the Model Development Life Cycle (MDLC) that focuses on generating standardized processes, repeatable modules, and required artifacts to scale up model development, model review, and validation. You will work with Wells Fargo model risk governance and validation teams to ensure the modeling processes and procedures meet corporate model risk policy and requirements. You will also be managing work efforts with AI vendors to ensure vendor AI models pass Wells Fargo model risk policies and requirements including model development documents and reviews.

KEY RESPONSIBILITIES INCLUDE:

As part of the CoE data science teams, you will work within the team to follow and develop AI solutions according to the MDLC process:

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• Design, develop, and deploy AI/ML models using state of the art techniques available in the open stack (Python/PySpark/PyTorch) and/or vendor solutions
• Partner with LOB leads to frame the problem, explore various ML/DL model architectures and methodologies, generate required artifacts related to model development life cycle (MDLC), author the model development document, and deliver AI models that meet business needs
• Adhere to corporate model risk policy and ensure compliance with model risk management
• Working with other data science teams to identify, gather, retain, and publicize modeling artifacts required for approved and repeatable processes
• Work with AI technology and production teams to operationalize models
• Work effectively in an agile project management methodologies for data science
• Knowledge sharing with members of the team and across the organization on topics including machine learning algorithms, hyper-parameter tuning/search, and traversing across multiple big data platforms
• Contribute to the CoE data science teams group effort to stay current with the cutting edge NLP/ML/DL algorithms, methodologies in the open source community and vendor solutions.
  
  As a Team Member Manager, you are expected to achieve success by leading yourself, your team, and the business. Specifically you will:
  
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  • Lead your team with integrity and create an environment where your team members feel included, valued, and supported to do work that energizes them.
  • Accomplish management responsibilities which include sourcing and hiring talented team members, providing ongoing coaching and feedback, recognizing and developing team members, identifying and managing risks, and completing daily management tasks.
    
    
    Required Qualifications
    
    
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    • 2+ years of experience in an advanced scientific or mathematical field
    • A master's degree or higher in a quantitative field such as mathematics, statistics, engineering, physics, economics, or computer science
    • 2+ years of Python experience
    • 2+ years of statistical modeling experience
      
      
      Desired Qualifications
      
      
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      • 2 + years of machine learning experience
      • 2+ years of Natural Language Processing (NLP) experience
      • 2+ years of Hadoop experience
        
        
        Other Desired Qualifications
        
        
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        • Hands on familiarity with machine learning and statistical modeling techniques applying machine learning techniques such as neural networks, random forest, GBM and SVM, Probabilistic Graphical Models, Deep Learning architectures, using open-source languages like Python, PySpark, PyTorch,
        • Hands on experience with deep learning toolkits such as Tensorflow, Keras, PyTorch, Dynet
        • Hands on experience writing data processing and data pipeline for model development including gathering and building datasets to collect intents, joining and aggregating source datasets, cleaning messy data, designing feedback loop on data needs
        • Experience building intent recognition and classification models. Experience with phrase level identification. Experience with language models such as BERT, ELMO, CRF
        • Experience with active learning and reinforcement learning
        • Experience with AI model transparency and explainability studies
          
          
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          • Strong acumen in diagnosing and resolving data issues
          • Exceptional analytical, critical thinking, quantitative reasoning skills, and problem-solving skills
            
            
            Street AddressGA-Atlanta: 171 17th St Nw - Atlanta, GADisclaimerAll 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, Atlanta , Quantitative Analytics Specialist 3 - AI MD CoE, Other , Atlanta, Georgia