Job Description:
Wells Fargo is seeking a Senior Quantitative Analytics Specialist - Market Risk Model Validation. This Senior Quantitative Analytics Specialist position is an individual contributor role in the Trading, Market and Counterparty Risk team within MRM. This team deals with 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 PFE (Potential Future Exposure) models, XVA framework and Counterparty Credit Risk concepts. 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. Wells Fargo’s Model Risk Management is responsible for independently overseeing the management of model risk exposures across the enterprise (including governing, monitoring, and reporting on aggregate model risk exposures, model validations, and model oversight across enterprise). This oversight extends to all phases of a model’s life cycle, including identification, development, validation, implementation, finding resolution, usage, performance monitoring, documentation, and retirement. 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.
