Wells Fargo Lead Quantitative Analytics Specialist 

India, Karnataka, Bengaluru 

193408868

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.