Senior Quantitative Analytics Specialist

Job Title: Senior Quantitative Analytics Specialist Company: Wells Fargo Job Category: Data Science Roles & Responsibilities: About this role: Wells Fargo is seeking a Senior Quantitative Analytics Specialist to work as an NLP/GenAI model validator with Model Risk Management Group. 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: * Work at the intersection of technologies related to Data Science \& AI/ML, Natural Language Processing and Generative AI including Agents and Skills. The role requires strong statistical background and expertise in Quantitative Modeling. The responsibilities include, but are not limited to, the following: * Managing model risk throughout the model lifecycle from model identification to model retirement through various tasks including risk ranking, model validation, change management and performance monitoring etc. * Delivering high quality technical reports ensuring factual accuracy, conceptual alignment, critical assessment and compliance to all policies and procedures. * Helping to develop and evaluate the architecture and foundational components of internal validation tools, developing fully operational prototypes, and deploying them in partnership with our Technology partners. * Providing guidance to the broader MRM community on best model risk management practices by leading or contributing to efficiency, effectiveness and automation efforts. * Shift timings: 1:40 PM to 10:30 PM * In office expectations: 4 days a week 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. Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Work Location: India Availability: Full time

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 Desired Qualifications: To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo. Wells Fargo Recruitment and Hiring Requirements: b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process. Key Skills: Data Science Salary: Not disclosed