招聘
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 At Scale, 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.
Required Qualifications: 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 Num Py, Pandas, Sci Py.
- 3 years of experience in distributed computing.
- 3 years of experience in big data, Py Spark, 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
Posting End Date:
22 Apr 2026
Job posting may come down early due to volume of applicants.We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
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关于Wells Fargo

Wells Fargo
PublicWells Fargo & Company is an American multinational financial services company. The company operates in 35 countries and serves more than 70 million customers worldwide.
10,001+
员工数
San Francisco
总部位置
$163B
企业估值
评价
3.7
10条评价
工作生活平衡
3.8
薪酬
3.2
企业文化
3.9
职业发展
2.8
管理层
3.1
65%
推荐给朋友
优点
Good benefits and health coverage
Flexible hours and remote work options
Good work-life balance
缺点
Limited career advancement opportunities
High stress and fast-paced environment
Poor management and lack of direction
薪资范围
15个数据点
Mid/L4
Senior/L5
Mid/L4 · Lead Analytics Consultant
1份报告
$151,878
年薪总额
基本工资
$116,064
股票
-
奖金
-
$151,878
$151,878
面试经验
3次面试
难度
3.0
/ 5
时长
21-35周
录用率
33%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
Behavioral Interview
6
Offer
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
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