Senior Lead Java Securities Quantitative Analytics Specialist

Wells Fargo & Company•New York, NY

1d•$215,000 - $355,000•Onsite

About The Position

About this role: Wells Fargo is seeking a Quantitative Software Engineer, Executive Director (Senior Lead Securities Quantitative Analytics Specialist). A successful applicant will be a Java quantitative developer in the Mortgage Modeling Development Center in Wells Fargo Securities, with a focus on Juniper Vasara development. Vasara is the next generation risk platform for the bank. It is an ambitious, green field initiative to tackle the bank's risk computation challenges within capital markets, from ticking risk for trading desks to market risk and capital calculations such us FRTB and CCAR. Juniper Vasara is a joint venture between multiple Quant and Technology teams, and you will work as a mortgage quant developer focusing on specific risk management and pricing solutions for our trading partners. Juniper Vasara is a horizontal solution designed to be use case agnostic to achieve maximum consistency and re-usability. Essential duties and responsibilities include: Partnership with Technology teams to enhance and improve the capabilities of the new strategic valuation and risk platform Integration of mortgage pricing and risk analytics in collaboration with other quant teams, providing expertise in design and implementation issues Effective communication and collaboration with Business Stakeholders, other Quant Teams, Technology Partners, and Project Management Analyze performance, propose remedial or optimization plans, and ensure execution to enhance the new strategic valuation and risk platform for the securities businesses Consistently deliver high-quality software and documentation in an Agile SDLC In this role you will: Proactively participate in complex software design & development activities within an Agile environment Contribute to large-scale project planning, balancing short and long-term objectives Generate, test, implement, and deploy ideas to improve system performance or team productivity. Use quantitative and technological techniques to solve complex business problems Meet deliverables while leveraging solid understanding of policies, procedures, and compliance requirements 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

Requirements

5+ years of Securities Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Nice To Haves

5+ years of hands-on coding experience, Java and C++ are most relevant
3+ years of product and market experience in mortgages
6+ years of Java experience with emphasis on functional programming
1+ years of C++ experience
Experience with asynchronous event driven or reactive programming architectures
Experience interpreting and solutioning for risk
Master's degree or higher in computer science or finance/mathematics
Experience in software development cycle and agile technologies, e.g. Git, Jira, Confluence
Experience in or passionate about Agentic AI
Excellent verbal, written, and interpersonal communication skills
Ability to travel up to 10% of the time
This position is eligible for Visa sponsorship
Must be able to work on-site

Responsibilities

Partnership with Technology teams to enhance and improve the capabilities of the new strategic valuation and risk platform
Integration of mortgage pricing and risk analytics in collaboration with other quant teams, providing expertise in design and implementation issues
Effective communication and collaboration with Business Stakeholders, other Quant Teams, Technology Partners, and Project Management
Analyze performance, propose remedial or optimization plans, and ensure execution to enhance the new strategic valuation and risk platform for the securities businesses
Consistently deliver high-quality software and documentation in an Agile SDLC
Proactively participate in complex software design & development activities within an Agile environment
Contribute to large-scale project planning, balancing short and long-term objectives
Generate, test, implement, and deploy ideas to improve system performance or team productivity.
Use quantitative and technological techniques to solve complex business problems
Meet deliverables while leveraging solid understanding of policies, procedures, and compliance requirements
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