Important Note: During the application process, ensure your contact information (email and phone number) is up to date and upload your current resume when submitting your application for consideration. To participate in some selection activities you will need to respond to an invitation. The invitation can be sent by both email and text message. In order to receive text message invitations, your profile must include a mobile phone number designated as “Personal Cell” or “Cellular” in the contact information of your application.
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.
As the company's second line of defense, Corporate Risk — or Independent Risk Management — provides independent oversight of risk-taking activities. Independent Risk Management establishes and maintains Wells Fargo's risk management program and provides oversight, including challenges to and independent assessment of, the frontline's execution of its risk management responsibilities. We manage risk according to the Risk Management Framework and ensure all employees understand their individual accountability for managing risk. Corporate Risk roles depend on a variety of skills, including: Data analysis and synthesis, root cause analysis, change management, process management & execution, risk governance, risk strategy, risk identification & assessment, risk prevention, controls & mitigation, risk monitoring, reporting & escalation, risk systems & technology.
The Risk Modeling Group (RMG) within Corporate Risk is seeking a Quantitative Analytics Specialist to 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.
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.
The responsibilities of this role will include, but not be limited to, the following: • 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 • Support business and enterprise initiatives such as new product / market introductions and forecasting for climate change risk across commercial portfolios • 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.
2+ years of experience in an advanced scientific or mathematical field
A master's degree or higher in a quantitative field such as mathematics, statistics, engineering, physics, economics, or computer science
Excellent verbal, written, and interpersonal communication skills
Strong analytical skills with high attention to detail and accuracy
Ability to interact with integrity and a high level of professionalism with all levels of team members and management
Ability to identify and manage complex issues and negotiate solutions within a geographically dispersed organization
Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment
Other Desired Qualifications
• Ability to code, develop models or perform analytics using Python, SAS, SQL or similar data analytics tools • Experience and high degree of familiarity with advanced model development using PySpark and GitHub • Knowledge and experience with development of credit risk or loss forecasting models using industry standard techniques such as binary / multinomial logistic and linear regression • Knowledge and experience with machine learning algorithms and time – series modeling • Expertise in Python or SAS programming and data manipulation using SQL • 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 environments
All offers for employment with Wells Fargo are contingent upon the candidate having successfully completed a criminal background check. Wells Fargo will consider qualified candidates with criminal histories in a manner consistent with the requirements of applicable local, state and Federal law, including Section 19 of the Federal Deposit Insurance Act.
Relevant military experience is considered for veterans and transitioning service men and women. Wells Fargo is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation.
Wells Fargo & Company (NYSE: WFC) is a diversified, community-based financial services company with $1.9 trillion in assets. Wells Fargo’s vision is to satisfy our customers’ financial needs and help them succeed financially. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, investment and mortgage products and services, as well as consumer and commercial finance, through 7,400 locations, more than 13,000 ATMs, the internet (wellsfargo.com) and mobile banking, and has offices in 32 countries and territories to support customers who conduct business in the global economy. With approximately 260,000 team members, Wells Fargo serves one in three households in the United States. Wells Fargo & Company was ranked No. 29 on Fortune’s 2019 rankings of America’s largest corporations. News, insights and perspectives from Wells Fargo are also available at Wells Fargo Stories.
www.wellsfargo.com | Twitter: @WellsFargo