WELLS FARGO BANK | Principal Engineer – Machine Learning and AI – Cyber Security | Irving, TX | United States | BigDataKB.com | 20 Oct 2022

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Job Location: Irving, TX

About this role:

Wells Fargo is seeking a Principal Engineer to be part of our Cyber Security Machine Learning team. The team is continually advancing state-of-the-art methods to solve a wide range of real-world financial problems using the company’s vast and unique datasets. The successful candidate will apply sophisticated machine learning methods to a wide variety of complex tasks including time series, reinforcement learning and recommendation systems. The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated.

Our work spans across all domains of Cyber Security. With this unparalleled access to the firm, the role offers a unique opportunity to explore novel and complex challenges that could profoundly transform how the bank operates.

The role will be an individual contributor role working closely with Machine Learning and AI technology leader and engineering team in providing architecture and design guidance.

Responsibilities

  • Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community
  • Develop state-of-the art machine learning models to solve real-world problems
  • Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
  • Lead your own project, from feasibility assessment and research through to model development
  • Working closely with application development teams to review/assess solution architecture and provide guidance on target and/or interim state cloud solutions
  • Support application team onboarding to Cloud specifically leveraging big data technologies and ML platforms
  • Support assessment of new product/services across machine learning and big data technology paradigm
  • Play SME role for application development teams to help Cloud, Big Data, Data Lake and Machine Learning application modernization

In this role, you will:

  • Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups
  • Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
  • Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions
  • Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
  • Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization
  • Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership

Required Qualifications, US:

  • 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 5+ years of development experience with languages such as Python, Java, Scala, or R
  • 2+ years of configuration experience with Cloud service providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP) or MS Azure
  • 2+ years of experience in one or a combination of the following: data management, data science, Artificial Intelligence (AI) or Machine Learning (ML)
  • 2+ years of experience in application & data architecture and solution design

Desired Qualifications:

  • A Masters degree or higher in computer science or finance
  • Strong verbal, written, and interpersonal communication skills
  • 5+ years of information security experience including experience in one or more of the following security disciplines: information security monitoring, incident response, vulnerability management, host/network forensics, cyber-crime investigation, penetration testing, business continuity, or cyber threat intelligence
  • 5+ years of experience in information security risk management or information security technology
  • 5+ years of Incident Management System experience
  • Experience articulating issues, risks, and proposed solutions to various levels of staff and management
  • Knowledge and understanding of threat analysis and assessment of potential and current information security risk/threats
  • Experience with Security Information and Event Management (SIEM) products
  • Certifications in one or more of the following: Global Information Assurance Certification (GIAC), Offensive Security Certified Professional (OSCP), Offensive Security Wireless Professional (OSWP), Offensive Security Certified Expert (OSCE), Offensive Security Exploitation Expert (OSEE), or Offensive Security Web Expert (OSWE)
  • Ability to execute in a fast paced, high demand, environment while balancing multiple priorities
  • Experience working in a large enterprise environment
  • Knowledge and understanding of banking or financial services industry
  • Excellent verbal, written, and interpersonal communication skills
  • Ability to communicate effectively, in both written and verbal formats, with senior executive-level leaders

Job Expectations

  • Ability to travel up to 10%

Locations:

  • Philadelphia, PA
  • Charlotte, NC
  • Chandler, AZ
  • Irving, TX

This position is not eligible for visa sponsorship

We Value Diversity

At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.

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 US: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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.




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