Lead Quantitative Analytics Specialist
Wells Fargo
- Location
- Bengaluru South, Karnataka, India
- Job type
- Full-time
Required skills
- fraud detection
- machine learning
- statistics
About the role
Wells Fargo
Website:
wellsfargo.com
Job details:
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
- Prior model development or model validation related exposure to Machine Learning models specifically in Fraud detection and fraud prevention space.
- Prior exposure to regulatory framework related to model risk management.
- Ability to utilize and enhance or tweak generative AI tools or Large language models for efficient handling of day-to-day activities.
Reference Number
R-520138
Click on Apply to know more.
This page is fully interactive when JavaScript is enabled. Please enable JavaScript to apply or browse related roles.