Quantitative Solutions Engineering Manager - Retail Credit Risk Decisioning Modeling Team
Company: Wells Fargo
Location: Tempe
Posted on: June 18, 2022
Job Description:
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
Quantitative Solutions Engineer Manager 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, deploying 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 the implementation
and ongoing calculation of credit scores from internally built
models.
- Manage and guide the activities of the Attribute Management
team: characteristic generation, audits, and maintenance and
adverse action language development. The team also provides subject
matter expertise on credit bureau data.
- Supervise mid-to-upper level roles in operational processes,
controls, assumptions, metric development, reporting, and growth
strategies to successfully drive effectiveness in real time and
batch score generation.
- Lead the effective and ongoing transformation of our model
development and deployment platform and processes using new
technology in collaboration with Information Technology
partners
- Ensure timely completion, quality, and compliance of
projects
- 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 rationale behind the
recommendations presented
- Collaborate and consult with validators, auditors, and
regulators
- Work with compliance and governance to ensure regulatory
requirements are met
- Manage allocation of people and financial resources for
Quantitative Solutions Engineering
- Mentor and guide talent development of direct reports and
assist in hiring talent In this role, you will specifically:
- Be responsible for the implementation, testing, and ongoing
maintenance of score generations for credit scoring models
- Lead the deployment of predictive models that are created using
variety of techniques including logistic regression, gradient
boosting, neural networks, etc.
- Manage and improve our characteristic generation and scoring
output audit processes
- 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 projects as neededRequired
Qualifications:
- 4+ years of Quantitative Solutions Engineering experience, or
equivalent demonstrated through one or a combination of the
following: work experience, training, military experience,
education
- 2+ years of leadership experience
- Master's degree or higher in a quantitative field such as
mathematics, statistics, engineering, physics, accounting, finance,
economics, or computer scienceDesired 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
implementation and result auditing utilizing best practices and
methodologies in the areas of data processing, sampling, test
design/specification, performance assessment, and evaluation
testing
- Operational management experience to address potential issues
especially those related to model score generation
- Experience with model forms and output particularly with
machine learning based models
- Experience with credit bureau data and characteristic
generation
- Intermediate to advanced coding ability using Python, R, or
other open source programming languages as well as data processing
using SQL, pandas, PySpark, etc.
- Intermediate to advanced 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 storyJob 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.
Keywords: Wells Fargo, Tempe , Quantitative Solutions Engineering Manager - Retail Credit Risk Decisioning Modeling Team, Accounting, Auditing , Tempe, Arizona
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