About this role:
Wells Fargo is seeking a Lead Quantitative Analytics Specialist.
Corporate & Investment Banking (CIB) delivers a comprehensive suite of banking, capital markets and advisory solutions, including a full complement to sales, trading and research capabilities, to corporate, government and institutional clients. The Markets vertical is an integral part of CIB. The Model Development and Maintenance (MDM) team is an extension of the US Front Office team within the markets vertical and is an extension of the global quant team. The team works in various asset classes like Interest Rate, Credit, Equity, Commodity, FX and XVA on models that are used for pricing, risk management and stress testing. Vasara is a joint venture between Technology and Quants, and is our strategic next-generation risk, pricing and analytics platform. This role will be primarily for but not limited to Vasara.
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:
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 Qualification
Master's degree or higher in computer science or finance/mathematics
Experience in building large scalable systems. Hands-on coding experience, Java is most relevant
Ability to learn quickly and work collaboratively within a team in a dynamic and fast-paced environment with multiple responsibilities but still following strict deadlines
Excellent verbal, written, and interpersonal communication skills
Experience developing Enterprise scale software platforms.
Experience with asynchronous event driven or reactive programming architectures
Experience working extremely well independently and self-motivated
Must have good knowledge of Object-Oriented Programming.
Must have good knowledge of Java 11, Python, Spring Framework, Groovy, Database management with MySQL/MongoDB (Any RDBMS experience will be useful)
Experience of Gradle, IntelliJ, Github, Jenkins, CI-CD pipeline
Experience of DevOps configuring distributed tech like Apache Kafka, Akka and Deephaven Framework.
Enterprise scale risk platforms with complex data environments, distributed processing, DAG architecture
Work in an agile development environment
Ability to navigate large, complex codebase and come up with working code
Capital markets knowledge in Rates & FX, ideally credit, including cash and derivatives securities
Ability to work with leading JavaScript frameworks/lib like React/Angular will be given preference
Ideally should have sound knowledge of Linux
Complete deliverables for strategic Vasara project
Participate in complex software design, development and testing activities
Proactively engage with other members of the Quant and Tech teams to address issues and blockers
Use quantitative and technological techniques to solve complex business problems
Collaborate and consult with peers, colleagues, and project managers to resolve issues and achieve goals
Effectively communicate with and build consensus with all project stakeholders including US teams
Posting End Date:
19 Jun 2026*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.
