About this role:
Wells Fargo is seeking a Senior Securities Quantitative Analytics Specialist who is responsible for performing complex activities related to the design, development, validation, implementation, documentation, and on-going maintenance of securities quantitative models for Pricing/Risk that offer 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 like 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
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
- 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.
- Participate in model development and deployment
- Testing and testing documentation
- Participating in unit testing, large scale Quant testing, pre-integration testing, integration testing, regression testing, 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
- Produce 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 any one asset class (FX , Rates , Equity , Commodity , CVA , Credit ) , 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 or C++
- Knowledge or experience in derivatives Quant models for, e.g., interest rate derivatives or commodities derivatives or equity or FX or Credit 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
