Wells Fargo is seeking a Senior Quantitative Analytics Specialist (SQAS) to join its Decision Science and Artificial Intelligence (DSAI) group within Model Risk Management (MRM). The responsibilities of the DSAI Group include end to end responsibility of managing the model risk over the model lifecycle including risk tiering, validation, and performance monitoring etc. In this specific position, the analyst will focus on models built in house and by third parties with machine learning and AI technologies primarily for the purpose of Natural Language Processing (NLP) and/or Generative AI. MRM operates in a fast-paced work environment with continuously changing policies and technologies and the ability to multi-task and meet strict timelines is critical.
In this role, you will:
Support the validation projects and coach junior team members.
Review analytical data and sampling plans, various modeling frameworks, model replications, model performance assessments, test model development, model monitoring, and provide effective challenge to lines of business.
Develop reusable code and libraries to accelerate NLP and Gen AI model validation.
Write detailed standard analytical reports to ensure Wells Fargo's compliance with governance policies and regulations.
Communicate with stakeholders, regulators, and auditors.
Required Qualifications:
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 discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Desired Qualifications:
A PhD in statistics, computer science, optimization, electrical engineering, or a related quantitative discipline
In-depth knowledge of Machine Learning (ML) methodologies such as ensemble algorithms, neural networks, supervised and unsupervised learning.
In-depth knowledge of Natural Language Processing concepts including transformer architecture and other generative AI technologies
Strong computing and programming background and knowledge of one or more languages such as Python and Java
Experience with ML/AI computing platforms and tools such as PyTorch, TensorFlow and Keras
Experience with GPU programming, multi-core, or distributed programming.
Ability to work with large datasets and some experience in database management and tools such as Hadoop, Spark, and SQL.
Proficiency in software development
Ability to take initiative and work independently in a structured environment.
Excellent writing and communication skills for documentation and presentations to audiences of all technical backgrounds
Strong conceptual and quantitative problem-solving skills and demonstrated ability to contribute independently.
Ability to work in cross-organizational projects and collaboratively with other groups.
Be self- motivated, require minimal supervision, and produce work that is consistent with MRM's recognized framework, procedure, and high standards.
Proficient with MRM framework and procedure
Job Expectations:
This position is eligible for Visa sponsorship.
Ability to travel up to 10% of the time.
Willingness to work on-site at stated location on the job opening.
This position offers a hybrid work schedule.
Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates. $111,100.00 - $197,500.00 Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement
Posting End Date: 29 Sep 2024 * Job posting may come down early due to volume of applicants.
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, status as a protected veteran, or any other legally protected characteristic.
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To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .
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