Senior Quantitative Analytics Specialist - Credit Risk Modeling
Company: Wells Fargo
Location: Atlanta
Posted on: August 7, 2022
Job Description:
About this role:Wells Fargo is seeking a Senior Quantitative
Analytics Specialist to join the Risk Modeling Group (RMG) within
Corporate Risk. The position will focus on development,
implementation, and analytics of models for Commercial portfolios
to support stress testing (CCAR/DFAST/internal financial
assessments), allowance calculation (CECL and IFRS9), business loss
forecasting and other financial analyses such as Recovery and
Resolution Planning. In this role, you will:This position joins a
high functioning, high profile team and requires strong programming
and analytics skills; ability to develop loss, balance and income
forecasting models; possess organizational and prioritization
skills; as well as strong attention to detail. This role is highly
dynamic and will require critical thinking and a tactical approach
to problem solving across multiple business uses.
- Perform highly complex activities related to creation,
implementation and documentation
- Use highly complex statistical theory to quantify, analyze and
manage markets
- Forecast losses and compute capital requirements providing
insights, regarding a wide array of business initiatives
- Utilize structured securities and provide expertise on theory
and mathematics behind the data
- Manage credit risks to forecast losses and compute capital
requirements
- Participate in the discussion related to analytical strategies,
modeling and forecasting methods
- Collaborate and consult with regulators, auditors and
individuals that are technically oriented and have excellent
communication skills
- Development of complex models for commercial loss, balance and
income forecasting working with large data sets, advanced
statistical models, and building Python/SAS/other codes to
effectively and efficiently implement models under a production
environment
- Developing analytics around model results for enhancing
forecast performance
- Understanding the trends within loan portfolios, their impact
on model performance, and quantifying the risks not captured by
models via qualitative adjustments
- Coherently supporting analyses to a variety of audiences,
including end users, management, regulators, and review groups
- Creating and maintaining comprehensive documentation for
existing and newly developed models. Comply with model risk and
internal controls policies and procedures ensuring all active
models are properly validated, monitored and maintained for
sustained use.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
- Masters degree or higher in a quantitative field such as
mathematics, statistics, engineering, physics, economics, or
computer scienceDesired Qualifications:
- Modeling experience with Wholesale and Retails models
- Excellent verbal, written, and interpersonal communication
skills
- Strong analytical skills with high attention to detail and
accuracy
- Expertise in Python or SAS programming and data manipulation
using SQL
- Knowledge and experience with development of credit risk or
loss forecasting models using industry standard techniques such as
binary / multinomial logistic and linear regression
- Ability to identify and manage complex issues and negotiate
solutions within a geographically dispersed organization
- Ability to interact with integrity and a high level of
professionalism with all levels of team members and management
- Ability to make timely and independent judgment decisions while
working in a fast-paced and results-driven environment
- Experience and high degree of familiarity with advanced model
development using PySpark and GitHub
- Knowledge and experience with machine learning algorithms and
time - series modeling
- Experience with data and analytics across multiple product
classes, systems, and organizations
- Detail oriented, results driven, and has the ability to
navigate in a quickly changing and high demand environment while
balancing multiple priorities
- Experience building Tableau dashboards for analyzing model
forecasts
- Knowledge of CECL, CCAR or IFRS-9 standards
- Experience with UNIX/LINUX Job Expectations:
- Preferred location(s) listed above. Other locations within the
Wells Fargo footprint may be considered for current Wells Fargo
employeesWe Value DiversityAt 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 units 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, Atlanta , Senior Quantitative Analytics Specialist - Credit Risk Modeling, Other , Atlanta, Georgia
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