Senior Specialty Software Engineer (Req #002089)

Wells Fargo Bank • Charlotte, NC

10d • Hybrid

About The Position

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. Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you. Wells Fargo Technology sets IT strategy; enhances the design, development, and operations of our systems; optimizes the Wells Fargo infrastructure footprint; provides information security; and enables continuous banking access through in-store, online, ATM, and other channels to Wells Fargo’s more than 70 million global customers. Wells Fargo Bank N.A. seeks a Senior Specialty Software Engineer in Charlotte, NC. Job Role and Responsibility: Wells Fargo Bank, N.A. is seeking a senior specialty software engineer to work on building and supporting the Python Platform and SDK that runs the quantitative and qualitative risk models for multiple lines of business. The position will offer the opportunity to work on the latest open-stack technologies in Big Data / Python universe. We make extensive use of Spark, Rest API’s, Django, Django DRF, React JS to develop and maintain an extensive SDK and Framework to enable self-service development, deployment, and end to end Batch and Real time Forecasting solutions available to our business. While we focus on integrating with Open-Source Apache and Linux Foundation AI & Data products, we also integrate with the latest commercial solutions like AtScale, Dremio, H2O.AI, Tableau and more through an API first integration strategy. Responsibilities include standing up cutting edge analytical capabilities, leveraging automation, cognitive and science-based techniques to manage data and models, and drive operational efficiency by offering continuous insights and improvements. Help in design and implementation of algorithms and tools for analytics and data scientist teams. Use a variety of languages, tools, and frameworks to marry data and systems together. Collaborate with modelers, developers, DevOps, and project managers on meeting project goals, Strong understanding of Python code Ci/CD deployment and test automation suites. Drive a culture of automation, test coverage and architect for Micro Services, API, Cloud Native and Headless Architecture – Decoupling the front ends and backend of the technology stack. Telecommuting is permitted up to 2 days a week. Position must appear in person to the location listed as the work address. Travel required: None.

Requirements

• Minimum degree required: Bachelor’s degree in Computer and Information Science or related technical field.
• Amount and type of experience required: Four (4) years of experience in the job offered or in a related position involving Specialty Software Engineering experience.
• Specific skills required: 4 years of Python experience
• 3 years of experience in data science python libraries like NumPy, Pandas, SciPy.
• 3 years of experience in distributed computing.
• 3 years of experience in big data, PySpark, HDFS and distributed computing.
• 3 years of experience in creating APIs using python, preferably Django and DRF.
• 3 years of experience in designing and building reusable solutions to in data work stream of model development life cycle.
• 1 years of experience in banking domain skills and depth knowledge in risk & finance forecasting domain
• 2 years of RESTful API design and development experience
• 2 years of experience with Big Data or Hadoop tools such as Spark, Hive, Kafka, and Map
• 2 years of experience with building, deploying, and securing cloud platforms
• 2 years of configuration experience with Cloud service providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP) or MS Azure

Responsibilities

• building and supporting the Python Platform and SDK that runs the quantitative and qualitative risk models for multiple lines of business
• standing up cutting edge analytical capabilities, leveraging automation, cognitive and science-based techniques to manage data and models, and drive operational efficiency by offering continuous insights and improvements
• Help in design and implementation of algorithms and tools for analytics and data scientist teams
• Use a variety of languages, tools, and frameworks to marry data and systems together
• Collaborate with modelers, developers, DevOps, and project managers on meeting project goals
• Drive a culture of automation, test coverage and architect for Micro Services, API, Cloud Native and Headless Architecture – Decoupling the front ends and backend of the technology stack

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees