Lead Quantitative Analytics Specialist

About this role : Wells Fargo is seeking a Lead Quantitative Analytics Specialist In this role, you will : Lead complex initiatives including creation, implementation, documentation, validation, articulation, and defense of highly statistical theory 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 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 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 : 5+ 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 a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science Desired Qualifications : Think critically to identify and prevent risk in data, solutions, and procedures. Perform root-cause analysis using Java and python on data issues and drive implementation for remediation. Perform reconciliations to source (or system of record) and highlight anomalies. Perform various complex analytics activities related to solution design on data solutions. Ability to prototype, design or develop automated solutions to business problems. Ability to take initiative, identify inefficiencies and opportunities and implement change using python and Java. Ability to manage process improvement initiatives to optimize operational effectiveness and efficiencies. Provide analytical support for evaluating, implementing, monitoring, and executing data strategy and execution solutions. Work effectively in a team environment and across all organizational levels, where flexibility, collaboration, and adaptability and respect and partnering skills are important. Partnership with Technology teams to debug, enhance and improve the capabilities of the new strategic valuation, risk, and Market Data Platforms using Java and python. Integration of various data inputs to pricing and risk analytics libraries in collaboration with other quant teams. Consistently deliver high-quality software and documentation in an Agile SDLC Use quantitative and technological techniques to solve complex business problems. Masters or above in quantitative disciplines like Computer Science / Finance Experience working in similar role dealing with Python / Java Strong analytical skills with ability to draw conclusions and translate findings from data. Possess strong Java Functional and Python programming skills with experience in working with analyzing and interpreting large datasets and data manipulation using Java Lambda expression, Java evaluators, Immutability, and Python NumPy, Pandas, SciPy and Scikit modules. Participate in complex software design & development activities within an Agile environment. Ability to develop and drive a project from inception to delivery. Experience developing Enterprise scale software platforms. Meet deliverables while leveraging solid understanding of policies, procedures, and compliance requirements. Show your hands-on coding experience of functional programming in git-hub. Quant or financial experience or the keen to learn them. Job Expectations : Candidate should be able to create and debug complex projects in Python using advance Object Oriented programming utilizing class, dataclasses, generators, decorators, error handling, logging, modules Candidate should have experience performing complex data transformation and data wrangling using pandas and numpy like grouping, aggregation methods, pivoting, handling invalid values etc Candidate should have experience in visualization libraries like mathplotlib, plotly, seaborn and should be familiar about how to analyze datasets in line graph, scatter plot, heatmaps etc Candidate should be able to work on analytical functions and techniques Candidate should be able to work on datasets across different data sources comprising of remote file servers, Relational DBs, Distributed file systems like HADOOP and NoSql DBs. Candidate should have experience to analyze / compare datasets across such multiple systems Candiate should be able to have experience in enterprise level CI / CD solutions like Jenkins, Docker, Kubernetes Candidate should have experience building dashboard in Django, Flask, Streamlit or Dash Candidate should be able to debug enterprise level Java Springboot (or similar) applications / microservices Posting End Date : 10 Nov 2025

• Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. 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 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. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo. Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment and Hiring Requirements : a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.