Job Description

About this role: CMoR 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 CMoR\'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. Lead Quantitative Analytics Specialist is an individual contributor role in the Decision Science and Artificial Intelligence (DSAI) Validation team within CMoR. In this role, the team member is responsible for validating and approving all marketing, retail credit scoring, commercial credit scoring, financial crimes, fair lending, and other artificial intelligence and machine-learning models. In this role, you will: Lead complex initiatives including creation, implementation, documentation, validation, articulation, and defense of highly statistical theory Qualify monitor markets and forecast credit and operational risks Strategize short and long-term objectives, and provide analytical support for a wide array of business initiatives Utilize stochastic, structured securities, spread analysis, with the expertise in the theory and mathematics behind the analysis Review and assess models inclusive of technical, audit, and market perspectives Identify structure and scope of review Enable decision making for product and marketing with broad impact and act as key participant to develop and document analytical models Collaborate and consult with regulators and auditors Present results of analysis and strategies Required Qualifications, International: Experience in Quantitative Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: 8-10 years of experience 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 . 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 . 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. . Hands on industry experience in building large scale end-to-end machine learning systems using a combination of big data tools and programming languages like Scala, Java and/or Python . Knowledge of parallel and distributed computing frameworks such as Hadoop, Spark, MPI, using GPUs . Experience in machine learning areas such as recommender systems, NLP, pattern recognition, predictive modeling, Artificial Intelligence. . Experience implementing machine learning algorithms such as support vector machines, decision trees, logistic regression, clustering, neural networks, graphical models etc . Data exploration and preparation using SAS, Spark, Python ,SQL or R or any statistical tool . Working experience in financial model validation team would be added advantage . Prepare detailed documentations for projects for both internal and external that complies regulatory and internal audit requirements . Keep updated with the latest in the Data Science community and leverage new capability for the bank . Knowledge of banking industry, terminologies and products in at least one of the LOB such as credit cards, mortgage, deposits, loans or wealth management etc. . Knowledge of any functional area such as risk, marketing, operations or supply chain in banking industry. . Instrumental in bringing new approaches to the table, create white papers and present in conferences Job Expectations: RWF@2023 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.

foundit