Quick Job Search
Company Name:
Job Type:
Job Seeker Tools
Latest Jobs
Job Seeker Tools
Your Saved Jobs
Build Your Professional Profile
Similar Jobs
Building Engineer in Atwater, CA
Workforce Strategies Manager - Financial Services Industry in Costa Mesa, CA
Levi Strauss & Co.
Sales Stylist, Levi's Outlet, Gilroy, CA in Gilroy, CA
RN - Emergency Department in Torrance, CA
Kern Community College District
English Instructor, BC Southwest/Arvin (One or More Positions) in Bakersfield, CA
Commercial Service Center Commercial Driver in SACRAMENTO, CA
Senior Project Coordinator - Construction/Project Management in San Francisco, CA
Featured Employers
Lead Quantitative Analytics Specialist - Credit Risk Modeling
Location: San Francisco, CA
Employment Type: Full Time
Date Posted: 05/22/2022
Expire Date: 08/21/2022
Job Categories: Finance/Economics, Financial Services, Human Resources, Information Technology, Military, Retail/Wholesale, Sales, Quality Control, Research & Development
Job Description
Lead Quantitative Analytics Specialist - Credit Risk Modeling

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.

About this role:

Wells Fargo is seeking a Lead Quantitative Analytics Specialist for the Retail Credit Risk Decisioning Modeling team, a part of Corporate Risk.  In this position, you will be a part of the team that is responsible for building and maintaining the models that are used to manage risk for Wells Fargo's Consumer and Small Business products.  Our models cut across the full credit life cycle: from acquisition to account management to collections and recovery, working closely with our partners to make key decisions that affect the bank's bottom line.  We use a variety of techniques ranging from traditional regression models to cutting edge machine learning methodologies to develop models that solve today's unique business problems.

In this role, you will:

  • Lead highly complex activities related to creation, implementation and documentation of credit scoring models.

  • Engage business partners in driving portfolio growth through the use of cutting edge models and analytics

  • Develop/evaluate, and deploy best in class credit risk models using both traditional and machine learning techniques and processes

  • Create new features that result from the investigation and validation of new data sources

  • Improve our analytic capabilities by evaluating new tools and techniques and championing their adoption

  • Present findings and results verbally and in written form, clearly articulating and defending the theory and mathematics behind the analytical and statistical steps that are taken

  • Collaborate and consult with validators, auditors, and regulators

  • Work with compliance and governance to ensure regulatory requirements are met

In this role, you will specifically:

  • Be responsible for the design, development, documentation, and implementation of best in class credit scoring models

  • Lead the development of predictive models using a variety of techniques including logistic regression, gradient boosting, neural networks, etc.

  • Work with business partners, model users, and internal teammates to thoroughly understand business problems, develop solutions, and present results.

  • Coordinate and review the development of complex data preparation programs and investigation and validation data sources.

  • Validate the correctness of model input and performance variable generations

  • Work with compliance and governance to ensure regulatory requirements are met

  • Support other analytic and modeling development projects as needed

Required Qualifications:

  • 5+ 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 science

Desired Qualifications:

  • Excellent verbal, written, and interpersonal communication skills

  • Experience in developing partnerships and collaborating with diverse team members representing diverse functional areas

  • Hands-on experience with leading statistical model development and validation utilizing best modeling practices and methodologies in the areas of data processing, sampling, model design/specification, model performance assessment, and evaluation testing

  • Model risk management experience to address potential model issues

  • Experience with advanced ML, Deep Learning concepts and applications

  • Proven ability to code with Python, R, or other open source programming languages as well as data processing using SQL, pandas, PySpark, etc.

  • SAS programming skills

  • Relevant experience in Retail Business or other risk management modeling area at a major financial institution with a successful track record of accomplishing complex projects is highly preferred. 

  • Demonstrated ability to think creatively and work collaboratively

  • Strong conceptual and quantitative problem-solving skills

  • Ability to effectively manage multiple assignments with challenging timelines 

  • Experience in tailoring presentations to the intended audience: able to not just present data but tell a story

Job Expectations:

  • Preferred location(s) listed above. Other locations within the Wells Fargo footprint may be considered for current Wells Fargo employees.

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.

Contact Information
Apply Now | Forward Job to a Friend | More Jobs From This Employer