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Analytic Consultant 5 - Data Engineer

at Wells Fargo

Posted: 9/12/2019
Job Reference #: 12539241
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Job Description

Job Description

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.

This role is a part of a newly formed NLP Data Engineering and Delivery team of DMI’s Enterprise Analytics and Data Science Team - the central analytics group tasked with solving high-impact business challenges and standing up cutting-edge analytical capabilities to be shared across Wells Fargo’s analytic community.

The NLP Data Engineer will help the "Enterprise Analytics & Data Science - Natural Language Processing (NLP) Engineering and Delivery" team in developing highly scalable and reusable model pipeline framework so that the model delivery is streamlined and simplified. The candidate will be actively involved in model development workflow and work with other NLP data scientists to generate innovative ideas around simplification and improvisation of model deployment environment. He will be a key player in ensuring that the model pipeline is tested, evaluated/validated, and integrated with other system layers before it is promoted to production environment. He needs to be hands-on in creating data pipeline libraries using Python and/or Scala programming languages and have keen interest in understanding the data science approaches such as deep learning neural nets and Natural Language Processing techniques.

Key Responsibilities:

  • Develop scalable and reusable model deployment framework using Python and/or Scala programming languages.
  • Develop data pipelines to test model and model deployment framework on Spark-based Compute environment
  • Create best practices and standards around model deployment framework and socialize them with the community to ensure successful delivery of the models.
  • Collaborate with data scientists to gain understanding of Natural Language Processing (NLP) techniques and model architectures and apply the techniques to the framework to make it efficient and scalable for several business cases.
  • Work with Artificial Intelligence (AI) platform team and other Enterprise Information Technology (EIT) team to provision data computing environment to evaluate/validate various approaches for integrating model pipeline with application systems before it is released to production.


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

  • 8+ years of experience in one or a combination of the following: reporting, analytics, or modeling; or a Masters degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis and 5+ years of experience in one or a combination of the following: reporting, analytics, or modeling
  • 1+ years of Apache Spark design and development experience using Scala, Java, Python or Data Frames with Resilient Distributed Datasets (RDDs)
  • 5+ years of SQL experience
  • 4+ years of experience with Big Data or Hadoop tools such as Spark, Hive, Kafka and Map
  • 2+ years of experience with data manipulation, cleansing, and transformation
  • 3+ years of Python experience



Desired Qualifications

  • Extensive knowledge and understanding of research and analysis
  • Strong analytical skills with high attention to detail and accuracy
  • Excellent verbal, written, and interpersonal communication skills
  • 1+ years of Natural Language Processing (NLP) experience
  • Extensive knowledge and understanding of research and analysis



Other Desired Qualifications
  • Experience working with unstructured data and/or text analytics is 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.

Application Instructions

Please click on the link below to apply for this position. A new window will open and direct you to apply at our corporate careers page. We look forward to hearing from you!