Lead Data Science Technologist (Software Sr Eng Spec)

Wells Fargo
Wells Fargo

Job Overview

Job Description

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.

Technology sets IT strategy; enhances the design, development, and operations of our systems; optimizes the Wells Fargo infrastructure; provides information security; and enables Wells Fargo global customers to have 24 hours a day, 7 days a week banking access through in-branch, online, ATMs, and other channels.

Our mission is to deliver stable, secure, scalable, and innovative services at speeds that delight and satisfy our customers and unleash the skills potential of our employees.

The Enterprise Functions Technology (EFT) group provides technology solutions and support for Risk, Audit, Finance, Marketing, Human Resources, Corporate Properties, and Stakeholder Relations business lines. In addition, EFT provides unique technology solutions and innovation for Wells Fargo Technology, Enterprise Shared Services, and Enterprise Data Management. This combined portfolio of applications and tools are continually engineered to meet the challenges of stability, security, scalability, and speed.

Compliance, Legal, Audit & Regulatory Technology (CLAR) provides technology support and development for Legal & Data Controls, Compliance Risk & Audit, Financial Crimes, Front Office and Second Line Risk, Employee Compliance, Regulatory Regulations, Market Surveillance, and Regulator Change Management.

CLAR Technology has embarked on an ambitious Risk Transformation program and as part of that we are looking for a Lead Data Science Technologist who is responsible for collecting, analyzing and interpreting extremely large amounts of data using advanced analytics technologies, including machine learning and predictive modeling.

Key duties and responsibilities of this position include:
• Analyze various data (structured and unstructured) across all lines of business (LOBs), using SAS, Python, Excel, VBA and SQL, and deliver testing and validation improvement strategies/recommendations based on findings.
• Engage with LOB business partners to understand how activities are performed and processed into various systems. Translate this knowledge into an understanding of how data is populated into systems of record and data warehouses and synthesize findings into data and process insights.
• Collaborating closely with developers and business stakeholders on the transition of your research into high-value business applications, such as replacement of manual testing processes with systematic, data-driven approaches. Indepen
dently designing and undertaking new research as well as partner in a team environment across the organization.
• Implementing policies, procedures and measurements to support program, including on-going monitoring and reporting and documentation
• Leverage the latest in statistical and operational detection methodologies in order to find, classify and predict operational risk issues. Potential technologies include: BERT/SBERT, GPT-3, TensorFlow, XGBoost, Stochastic gradient decent, Experience with bias and variance, Signal processing techniques, Fourier transformations and other techniques
• Establishing and executing a framework for problems to be solved using artificial intelligence techniques that includes: Structuring of question/problem to be answered, Assessment of potential topic areas, Staff interviews to discover key issues and impacts, Scoping of the problem to be solved, Selection of technical solution, Execution of the solution & oversight of implementation, Internal “sale”/messaging of the program
• Functioning as a thought leader and top-notch problem solver; defining new ideas and approaches and refining existing ones to suit the business need.
• Collaborating closely with developers and business stakeholders on the transition of your research into high-value business applications, such as replacement of manual testing processes with systematic, data-driven approaches. Independently designing and undertaking new research as well as partner in a team environment across the organization.
• Implementing policies, procedures and measurements to support program, including on-going monitoring and reporting and documentation
 

Required Qualifications

  • 10+ years of software engineering experience
  • 7+ years of experience in one or a combination of the following: securities, quants, artificial intelligence, or machine learning
  • A Master’s degree or higher
  • 5+ years of experience one or a combination of the following: reporting, analytics, or modeling in an information security environment, information technology environment, or a combination of both
  • Desired Qualifications

  • A Masters degree or higher in computer science or finance
  • A professional certification in technology
  • Basic knowledge of industry regulations related to building technological solutions
  • A Master’s degree or higher in a quantitative discipline
  • A PhD in a quantitative discipline
  • 8+ years of financial industry experience
  • 8+ years of risk management experience
  • 8+ years of SAS programming experience
  • Excellent verbal, written, and interpersonal communication skills
  • Strong analytical skills with high attention to detail and accuracy
  • 8+ years of Python experience
  • Extensive knowledge and understanding of research and analysis
  • Other Desired Qualifications

    • 6+ years of Operational Risk Management experience
    • Knowledge of Octave, Matlab and C/C++
    • Wells Fargo software engineering experience

    Job Expectations

  • Ability to work additional hours as needed
  • Ability to travel up to 10% of the time
  • Ability to work outside of regular business hours
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