About this role:
In this role, you will:
- 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 market, credit, and operational risks to forecast losses and compute capital requirements
- Participate in the discussion related to analytical strategies, modeling and forecasting methods
- Identify structure to influence global assessments, inclusive of technical, audit and market perspectives
- Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills
Required Qualifications:
- 4+ 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 discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Desired Qualifications:
- A Senior Quantitative Analytics Specialist should have a deep academic knowledge, broad based approach to solve business problems. He/she should approach the problem agnostic of analytic technique, tool or process. Ability to think outside the box and provide ensemble solutions should set them apart to be a high performing team member.
- 4+ years of experience with minimum Masters/Phd in a quantitative field such as applied math, statistics, engineering, physics, or mathematical finance.
- Performing mathematical model validation using Python, C++, R, and SQL or other programming languages andmathematical/statisticalpackages
- Producing required documentation to substantiate model validation
- Analyzing processes and work flows to make recommendations for process improvement in various risk management and/or business areas as well as participating in and leading model risk projects.
- Strong mathematical, statistical, analytical and computational skills
- Strong communication skills for a variety of audiences (other technical staff, senior management and regulators) both verbally and in writing
- Capability to multi-task and finish work within strict timelines and provide timely requests for information and follow-up questions
- Ability to work independently on complex model validations from start to finish
- Able to demonstrate first-hand knowledge of advanced topics in various mathematical and numerical methods such as Monte Carlo, stochastic calculus, differential equations, linear algebra, applied probability, and statistics;
- Skill in managing relationships with key model stakeholders
- Eagerness to contribute collaboratively on projects and discussions
- Perpetual interest in learning something new, but being comfortable with not knowing the all the answers
- Attention to detail in both analytics and documentation
- Aptitude for synthesizing data to 'form a story' and align information to contrast/compare to industry perspective
- Intellectually curious, who enjoy solving problems
- Excellent programing skills and use of software packages such as C++, Python, R, SAS and SQL
- Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
- Good interpersonal skills and ability to develop partnerships and collaborate with other business and functional areas
27 Mar 2025
Wells Fargo Recruitment and Hiring Requirements:
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.