Job Description
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
- 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 Qualifications:
- A Senior Quantitative Analytics Specialist should have a deep academic knowledge, broad based approach to solve business problems. He/she should approach the problem agnostic of analytic technique, tool or process. Ability to think outside the box and provide ensemble solutions should set them apart to be a high performing team member.
- 4+ years of experience with minimum Masters/ Phd in a quantitative field such as applied math, statistics, engineering, physics, or mathematical finance.
- Performing mathematical model validation using Python, C++, R, and SQL or other programming languages and mathematical/statistical packages
- Producing required documentation to substantiate model validation
- Analyzing processes and work flows to make recommendations for process improvement in various risk management and/or business areas as well as participating in and leading model risk projects.
- Strong mathematical, statistical, analytical and computational skills
- Strong communication skills for a variety of audiences (other technical staff, senior management and regulators) both verbally and in writing
- Capability to multi-task and finish work within strict timelines and provide timely requests for information and follow-up questions
- Ability to work independently on complex model validations from start to finish
- Able to demonstrate first-hand knowledge of advanced topics in various mathematical and numerical methods such as Monte Carlo, stochastic calculus, differential equations, linear algebra, applied probability, and statistics;
- Skill in managing relationships with key model stakeholders
- Eagerness to contribute collaboratively on projects and discussions
- Perpetual interest in learning something new, but being comfortable with not knowing the all the answers
- Attention to detail in both analytics and documentation
- Aptitude for synthesizing data to 'form a story' and align information to contrast/compare to industry perspective
- Intellectually curious, who enjoy solving problems
- Excellent programing skills and use of software packages such as C++, Python, R, SAS and SQL
- Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
- Good interpersonal skills and ability to develop partnerships and collaborate with other business and functional areas.
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Job Tags
Full time, Temporary work, Work experience placement,