Cognitive Computing / NLP Quantitative Manager - Quantitative Analytics Manager 1

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 are looking for talented people who will put our customers at the center of everything we do. We are seeking candidates who embrace diversity, equity and inclusion in a workplace where everyone feels valued and inspired.

Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.

The Chief Operating Office (COO) is responsible for delivering a more consistent approach to business operations across Wells Fargo, strengthening the company’s risk and control infrastructure, and delivering effective and efficient enterprise services to employees and customers.

The COO group includes the head of Operations, who is jointly responsible for line of business operations with each of the five LOB CEOs. Operations functions include contact center operations, client servicing support, money movements within our businesses, lending operations, and other functions.

The COO group also includes a number of teams dedicated to strengthening Wells Fargo’s risk and control infrastructure. These include the Control Executive team; Regulatory and Policy Affairs; Enterprise Customer Excellence; Sales Practices Oversight and Management; and Strategic Execution and Operations.

The Chief Administrative Office, encompassing the Corporate Properties Group; Corporate Security; Enterprise Business Resiliency; Strategic Programs and Process Improvement; Enterprise Change Management; Supply Chain Management; and Data Management and Insights, delivers important services for our employees and customers.

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.

Position Overview

The NLP function within the Artificial Intelligence Model Development Center of Excellence (AI MD CoE) is responsible for developing and deploying NLP based 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 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 lead to support the Strategy, Digital, and Innovation team (SDI).

This leader will be responsible for building and managing a team of data scientists to design, develop, and implement AI models focused on SDI’s AI priorities including virtual assistant, predictive banking, and anomaly detection on our digital channels. 

KEY RESPONSIBILITIES INCLUDE:

• Build and grow a team of data scientists responsible for AI model development in support of enterprise NLP capabilities. 
• 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 methodology for data science
• Knowledge sharing with members of the team and across the organization on topics including NLP/machine learning algorithms, hyper-parameter tuning/search, and traversing across multiple big data platforms
• Contribute to the CoE data science team’s group effort to stay current with the cutting-edge AI/NLP 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:

• 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.

• 4+ years of experience in an advanced scientific or mathematical field
• 2+ years of leadership experience
• A master's degree or higher in a quantitative field such as mathematics, statistics, engineering, physics, economics, or computer science
• 2+ years of Natural Language Processing (NLP) experience

• Strong analytical skills with high attention to detail and accuracy
• Ability to work and influence successfully within a matrix environment and build effective business partnerships with all levels of team members
• Meeting facilitation experience in leading discussions that result in consensus and commitment

• Curious and creative problem solver
• Client facing experience such as management consulting background 
• Love asking questions, framing business problems as data science questions, and you love pushing hard to find answers from business partners and others
• Thrive on bringing definition to big, undefined problems
• Managing or directing data scientist/ statistician/ data engineer teams
• 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 with foundational NLP concepts (e.g., language models, embeddings), but also tuned in with the state-of-the-art NLP model architectures (e.g., BERT etc.) and have hands-on experience training and fine-tuning the model solution using open source tools (tensorflow/pytorch)
• 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 need
• Detail oriented. Experience with model governance requirements. Able to de-mystify AI models to make them transparent and explainable 
• Experience with agile project management methodologies for data science 
• Experience with Big Data or Hadoop tools such as Spark, Hive, Kafka and Map
   

• Ability to travel up to 10% of the time

NC-Charlotte: 401 S Tryon St - Charlotte, NC
GA-Atlanta: 3579 Atlanta Ave - Atlanta, GA
MN-Minneapolis: 600 S 4th St - Minneapolis, MN
NC-Charlotte: 11625 N Community House Road - Charlotte, NC
SC-Fort Mill: 3480 State View Blvd - Fort Mill, SC
TX-Addison: 5080 Spectrum Dr - Addison, TX
AZ-Tempe: 1150 W Washington St - Tempe, AZ

• 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.

Benefits
 

Visit https://www.wellsfargo.com/about/careers/benefits for benefits information.