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
- Work with the technology team to deploy appropriately detailed solution
Required Qualifications:
- 8-10 years of experience as a Python Developer on strong projects.
- Bachelor's or Master’s degree in Computer Science, Software Engineering, data science or quantitative field.
- In-depth understanding of the Python software development stacks, ecosystems, frameworks, and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch.
- Experience with popular Python frameworks such as Django, Flask or others.
- Good database skills including SQL.
- Excellent problem-solving ability with solid communication and collaboration skills.
- Self-starter, takes initiative, and has a strong desire to learn and grow.
- 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:
- Knowledge of data science and machine learning concepts and tools.
- 8-10 years of experience as a Python Developer on strong projects.
- Bachelor's or Master’s degree in Computer Science, Software Engineering, data science or quantitative field.
- In-depth understanding of the Python software development stacks, ecosystems, frameworks, and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch.
- Experience with popular Python frameworks such as Django, Flask or others.
- Good database skills including SQL.
- Excellent problem-solving ability with solid communication and collaboration skills.
- Self-starter, takes initiative, and has a strong desire to learn and grow.
- Familiarity with Natural Language Processing concepts and tools.
- Familiarity with Generative Artificial Intelligence concepts.
- Experience in financial industries including risk management will be a plus
- Strong project management skills and ability to coordinate several reports / projects at once
- Excellent verbal, written, and interpersonal communication skills
- Experience preferred from a large, matrixed, global financial services company
- Bachelors/Master’s degree preferably in an engineering or quantitative discipline
- Establish and maintain a roadmap for AI and machine learning initiatives, ensuring alignment with business goals and timelines.
- Develop and deploy machine learning models and algorithms to solve business problems in the financial risk management.
- Analyze large, complex datasets to extract actionable insights and drive data-driven decisions.
- Work closely with stakeholders to understand business requirements and translate them into technical solutions.
- Collaborate with software developers to integrate AI / ML solutions.
- Participate in regular meetings with and provide AI / ML related updates to relevant senior management.
Wells Fargo Recruitment and Hiring Requirements:
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.