About this role
Wells Fargo is seeking a Quantitative Analytics Specialist
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 workflow 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
- 2+ 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 statistics, mathematics, physics, engineering, computer science, economics, or quantitative discipline
- 2+ years of Predictive modeling experience. Good understanding of model development and model testing process.
- Proficient in statistical analysis
- Good Problem Solving and Analytical Skills
- Strong programming Skills in Python and SQL
- Good Written and Oral Communication Skills
Desired Qualifications
- Ability to prioritize work, meet deadlines, achieve goals and work under pressure in a dynamic and complex environment
- Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities
- Understanding of bank regulatory data sets and other industry data sources
- Exposure to banking domain in Credit Risk area on Retail/Commercial portfolio
- Ability to identify and manage complex issues and negotiate solutions within a geographically dispersed organization
- Ability to research and report on a variety of issues using problem solving skills
- 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
Job Expectations
- Development of regulatory PPNR, Recovery & Resolution planning (RRP Valuations), and Creditrisk (including CCAR, CECL and IFRS) models for Commercial portfolio
- Work closely with the teamto understand and enhance the data and modeling process behind existing models, develop new models, address data and model issues/risk findings.
- Underlying portfolio data research and analytics using strong programming skills
- Adhere to audit and model validation governance to ensure data and modeling process are in compliance with policy and are working as intended, address model validation and regulatory feedback issues
- Support ad-hoc analytic projects
Posting End Date
*Job posting may come down early due to volume of applicants.
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 USAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
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.
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