About this role:
Wells Fargo is seeking a Senior Securities Quantitative Analytics Specialist who will be responsible for performing complex activities related to the design, development, validation, implementation, documentation, and ongoing maintenance of securities quantitative models for Pricing/Risk that offers insights and recommendations on portfolio performance for the front office team. Utilizes advanced mathematical skills and programming to create and validate analysis
Corporate & Investment Banking (CIB) delivers a comprehensive suite of banking, capital markets and advisory solutions, including a full complement of 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 and works with the global quants team to develop and monitor models. The team works in various asset classes such as Interest Rate, Credit, Equity, Commodity, FX and XVA on models that are used for pricing, risk management and stress testing
In this role, you will:
- Lead or participate in moderately complex initiatives and deliverables within Securities Quantitative Analytics
- Contribute to large-scale departmental planning
- Combine mathematical programming and market expertise to build and generate systematic strategies
- Review and analyze moderately complex business, operational, or technical challenges within Securities Quantitative Analytics that require an in-depth evaluation of variable factors
- Use quantitative and technological techniques to solve complex business problems
- Conduct research on trading cost models, liquidity models, risk models, portfolio construction methodology, and signal generation
- Resolve moderately complex issues independently
- Lead team to meet deliverables while leveraging solid understanding of Securities Quantitative Analytics policies, procedures, and compliance requirements
- Collaborate and consult with peers, colleagues, and mid-level managers to resolve issues and achieve goals
- Lead projects, teams, or serve as a mentor for less experienced staff
- Play an integral role to the trading floor
- Combine mathematical programming and market expertise, to build and generate systematic strategies
- Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas companywide
- Deliver solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking, and coordination of highly complex activities and guidance to others
- Use quantitative and technological techniques to solve complex business problems
- Conduct research on trading cost models, liquidity models, risk models, portfolio construction methodology, and signal generation
- Develop cutting-edge derivative pricing models and empirical models, to provide insight into market behavior
- Engage with all levels of professionals and managers companywide and serve as an expert advisor to leadership
- Work constructively in collaboration with business, model development, model validation, and information technology
- Lead or participate in moderately complex initiatives and deliverables within Securities Quantitative Analytics
- Combine mathematical programming and market expertise to build and generate systematic strategies
- Review and analyze moderately complex business, operational, or technical challenges within Securities Quantitative Analytics that require an in-depth evaluation of variable factors
- Use quantitative and technological techniques to solve complex business problems
- Conduct research on trading cost models, liquidity models, risk models, portfolio construction methodology, and signal generation
- Resolve moderately complex issues independently
- Collaborate and consult with peers, colleagues, and mid-level managers to resolve issues and achieve goals
- Play an integral role to the trading floor by partnering and enabling advanced analytics
Required Qualifications:
- 4+ years of Securities Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
- Partner with the trading desk in daily tasks such as model calibration and pricing/risk management issues and strategies
- This role might involve working with Traders in APAC during trading hours
- Work in our quant library, contributing to our modeling efforts, and providing expertise on implementation issues
- Produce high quality model documents that satisfy model validation and regulatory requests
- Collaborate with and support Front office Trading, Technology Partners, and Model Validation/Governance teams.
- Participating in model development and deployment
- Testing and documentation
- Participating in unit testing, large scale Quant testing, pre-integration testing, integration testing, regression testing and UAT
- Checking the consistency and accuracy of quantitative models
- Testing tools and testing (partial) automation
- Developing testing scripts and automation scripts, e.g., for the Quant testing framework
- Participation in issue resolution
- Debugging case preparation (to produce isolated cases to demonstrate the issues) for the US Quants or the traders
- Debug and conclude data issues/model input issues
- Producing high quality model documentation
- Participating in the creation, execution and development of Front Office test plans
- Participation in the creation, execution and development of model monitoring plans
- Writing code (in Python, C++, etc.) and refactoring code
- Actively participating and contributing in team discussions on project specific areas/assignments
- Maintaining proper documentation of all processes and keeping the code up to date
- Answering ad hoc questions from various stakeholders including US Front Office Quants, populating templates or creating new reports/extracts as requested by stakeholders
- Play an integral role to the trading floor
Job Expectations:
- A masters or PhD in a quantitative field such as math, statistics, engineering, physics, economics, computer sciences, etc., with exposure to stochastic calculus.
- 4+ years of experience in Securities Quantitative Analytics model development in Interest Rate Derivatives , or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Good verbal, written, presentation and interpersonal communication skills
- Hands-on experience in programming in, e.g., Python/Java or C++
- Knowledge or experience in derivatives Quant models for, e.g., interest rate derivatives or FX derivatives or XVA
- 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
- Good writing skills for technical/mathematical documents, e.g., LaTeX and other word processing programs
- Candidates are expected to demonstrate proficiency in AI tools and other emerging technologies to drive innovation and efficiency
- Bring thought leadership and execution through collaboration and innovation
- Be proactive and conduct various initiatives by operating at an executive lev
