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Quantitative Analytics Specialist

About this role:

Wells Fargo is seeking a Quantitative Analytics Specialist within the Commercial Banking Model Development Center of Excellence. The Commercial Banking Model Development Center of Excellence is responsible for designing, developing, and implementing quantitative models including AI/ML to support Commercial Banking businesses as well as managing model risks. 

The Quantitative Analytics Specialist role is responsible for building AL/ML models and conducting data analytics to support Commercial Capital business lines, Commercial Operations, and Treasury Management operations in the areas of revenue growth, customer acquisition, product penetration, customer retention and other business priorities. Learn more about the career areas and lines of business at

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

Required Qualifications, US:

  • 2+ 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 statistics, mathematics, physics, engineering, computer science, economics, or quantitative field

Desired Qualifications:

  • 2+ years of data and analytics experience in commercial banking such as middle market banking, treasury management, asset-based lending and leasing etc.
  • Strong analytical skills with high attention to detail and accuracy
  • Hands on familiarity with machine learning and statistical modeling techniques, such as Neural Networks, Random Forest, GBM, SVM, Logistic Regression, Deep Learning architectures, etc., using open-source languages like Python, PySpark, PyTorch
  • Hands on experience with deep learning toolkits such as Tensorflow, Keras, PyTorch, Dynet
  • Hands on experience with SAS and SQL utilizing large scale databases – Teradata, Oracle, etc.
  • Hands on experience writing data processing and data pipeline for model development including gathering and building datasets to collect intents, joining and aggregating source datasets, cleaning messy data, designing feedback loop on data need
  • Experience with model governance requirements. Able to de-mystify AI models to make them transparent and explainable
  • Experience with agile project management methodologies for data science
  • Experience with Big Data or Hadoop tools such as Spark, Hive, Kafka and Map

Job locations:

Charlotte, NC

Chandler, AZ

Des Moines, IA

Minneapolis, MN

Phoenix, AZ

Salt Lake City, UT

Concord, CA

San Francisco, CA

Required locations for this position are listed above. Candidate must reside within a commute to the site location.
Telecommute is NOT an option for this role and relocation assistance is not available for this position.
Hybrid Work Schedule:  3 days in the office and 2 days, work from home

This position is not eligible for Visa sponsorship.


Pay Range

$96,600.00 - $171,800.00 Annual

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, age, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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