Senior Quantitative Analytics Specialist - NLP Team (Unstructured Data)
Company: Wells Fargo
Location: Tempe
Posted on: June 21, 2022
Job Description:
About this role:Wells Fargo is seeking a Senior Quantitative
Analytics Specialist within its Artificial Intelligence (AI)
Machine Learning (ML) Center of Excellence group.The AI and ML CoE
team in Enterprise Analytics and Data Science (EADS) is responsible
for developing and deploying NLP, machine learning, and AI
solutions for key strategic Enterprise initiatives such as customer
experience improvement, risk management and compliance, business
operational excellence, and team member experience. The team is
looking for an experienced analytics professional to add to its
AI/ML/NLP model development team.As part of the AI/ML/NLP data
science team, you will be responsible for designing, developing,
and implementing AI/ML NLP models for the enterprise and Wells
Fargo lines of business. You will be leveraging unstructured text
such as emails, text messages, notes, and semi-structured data in
combination of structured data to apply text analytics and
AI/NLP/ML techniques. You will use open stack programming languages
(primarily Python) and/or vendor solutions to develop models and
deploy them on Wells Fargo's AI platform. The ideal candidate
should be able to think outside the box to uncover new ways to
analyze unstructured data in conjunction with analytical tools to
answer complicated business questions. As part of the model
development team, you will be responsible of delivering solutions
that meet business needs as well as any efforts related to model
documentation and reviews to ensure the modeling processes and
procedures meet corporate model risk policies and requirements. As
part of our CoE, we invest in you and your career. In addition to
Wells Fargo benefits you may be eligible for, you'll have access to
elite training platforms like O'Reilly and DataCamp, where you can
learn from industry leading experts, along with many other internal
and external subject specific education opportunities. Our diverse
data science team ranges from university professors and experienced
practitioners to data scientists new to the industry, creating a
full spectrum of thought leadership and solution design. You'll be
part of a team where there is room to grow, learn, contribute and
participate in work being done on world class distributed computing
platforms with the latest AI ML framework, both Open Source and
licensed , that ultimately supports our customers and company . The
AI ML CoE also gives you the opportunity to share your passion for
data science through peer education and contributing to programs
designed to make the practice more approachable, including one for
experienced professionals moving into data science roles. In this
role, you will:
- Develop, implement, and calibrate various analytical
models
- Perform highly complex activities related to financial
products, business analysis and modeling
- Perform basic statistical and mathematical models using Python,
R, SAS, C++ and SQL
- Perform analytical support and provide insights regarding a
wide array of business initiatives
- Provide solutions to business needs and analyze work flow
processes to make recommendations for process improvement in risk
management
- Collaborate and consult with peers, colleagues, managers and
regulators to resolve issues and achieve goals
- Design, develop, and deploy AI/ML models using state of the art
NLP and ML techniques available in the open stack and/or vendor
solutions
- Data visualization
- Communicating the results
- Responsible of model development document and monitoring
processes
- Adhere to corporate model risk policy and ensure compliance
with model risk management
- Working with other data science teams to identify, gather,
retain, and publicize modeling artifacts required for approved and
repeatable processes
- Contribute to NLP data science teams group effort to stay
concurrent with the cutting edge and bleeding edge of NLP/ML/DL
algorithms, methodologies in the open source community and vendor
solutions.
- Work with AI technology and production teams to operationalize
models Required Qualifications, US:
- 4+ years of Quantitative Analytics experience, or equivalent
demonstrated through one or a combination of the following: work
experience, training, military experience, education
- Master's degree or higher in a quantitative field such as
mathematics, statistics, engineering, physics, economics, or
computer scienceDesired Qualifications:
- Big Data experience
- Ability to work and influence successfully within a matrix
environment and build effective business partnerships with all
levels of team members
- Good analytical skills with high attention to detail and
accuracy
- GitHub experience
- Experience with search engine libraries, such as, but not
limited to Stanford NLP Library or Lucene search engine 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.
Keywords: Wells Fargo, Tempe , Senior Quantitative Analytics Specialist - NLP Team (Unstructured Data), Other , Tempe, Arizona
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