Job Description

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, US: 2+ 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 statistics, mathematics, physics, engineering, computer science, economics, or quantitative discipline Required Qualifications, International: Experience in Quantitative Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education In this role, you will: Performing model validations and clearly documenting evidence of validation activities Develop benchmarking and alternative models in Python/R/Matlab/SAS Conducting model replication and review of model documentation Providing effective challenge to models developed in/for the lines of business, including identifying conceptual weaknesses in a model and understanding tradeoffs with other approaches Managing and mitigating model risk to meet or exceed regulatory and industry standards Providing leadership and consultation to less experienced validators and business partners Communicating model risk findings and limitations to key stakeholders Contributing to the improvement of model building and model use practices Providing analytical support and offering insights regarding a wide array of business initiatives Interacting with senior management and regulators on key modeling issues, including the identification, management, and mitigation of model risk Proactively following the industry trend to apply and develop new technology as part of R&D to improve efficiency Required Qualifications, International: 8+ years of experience in model validation or model development with minimum Masters/Phd in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis. 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 (Logistic regression , Time Series and Machine learning techniques) Familiarity in one or more of the following areas: Asset-liability risk management, deposit Rate forecasting , Deposit origination and attrition modelling, structured finance risk management and income forecasting (e.g. pooled collateral), and/or derivatives pricing or CVA/DVA modeling , Predictive modelling with Logistic regression , Time Series and Machine learning techniques Strong mathematical, statistical, analytical and computational skills along with programming 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 Attention to detail in both analytics and documentation Desired Skills Perpetual interest in learning something new, but being comfortable with not knowing the all the answers Aptitude for synthesizing data to \'form a story\' and align information to contrast/compare to industry perspective Intellectually curious, who enjoy solving problems. 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 US:All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. 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. Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our to learn more.

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