Senior Quantitative Analytics Specialist ( Gen AI)

About This Role Wells Fargo is seeking a Senior Quantitative Analytics Specialist.

MRM operates in a fast-paced work environment with continuously changing policies and technologies. The successful candidate is expected to be self- motivated, require minimal supervision, and produce work that is consistent with MRM’s recognized high standards.Effective work will involve familiarity with source systems of record, analytical data and sampling plans, model replications, model performance assessments, and test model development as effective challenges to lines of business.It further requires strength in writing detailed standard analytical reports to ensure Wells Fargo’s compliance with governance policies and regulations.Each validation report will include assessments of the specific business, model purpose and history, the model methodology, data integrity, model development, performance, implementation, and monitoring.These documents are read by a broad audience, including auditors and regulators.

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
• Bachelor’s degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Job Expectations:

• A Senior Quantitative Analytics Specialist is an individual contributor role in the Market Model Validation team. This team deals with developing and validating mathematical models for pricing and hedging complex financial instruments. We use traditional and cutting-edge techniques in applied and computational mathematics to assess and validate models. In particular, the candidate is expected to have hands-on knowledge of working on equity derivative pricing models. Candidate should have strong knowledge of derivative pricing theory, numerical techniques in Mathematical Finance such as Numerical PDE, Monte-Carlo Methods and Computational Programming.
• 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.

Desired Skills:

• Strong mathematical, statistical, analytical and computational skills
• 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 and mathematical/statistical packages
• 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 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 …