Senior Data Scientist

About this role:

Wells Fargo is seeking a Senior Quantitative Analytics Specialist

Sr. Quantitative Analytics Specialist is a partner-facing role and is responsible for delivering high impact analytic and data science projects by using analytics.

AI Innovation & Modeling is the central analytics group tasked with solving high-impact business challenges and standing up cutting-edge analytical capabilities to be shared across Wells Fargos analytic community.

We are looking for a high performer to join our team and help us solve challenging and interesting business problems through rigorous data analysis and predictive modeling.

In this highly consultative and visible role, you will support development analytic projects from multiple business lines using various technology and techniques ranging from but not limited to supervised, unsupervised and semi-supervised machine learning, deep-learning, NLP, Gen AI, optimization algorithms in both edge nodes and in big data environments (like hortonworks, MapR, Aster etc.)

In this role, you will:

• Perform highly complex activities related to creation, implementation, and documentation
• Use highly complex statistical theory to quantify, analyze and manage markets
• Forecast losses and compute capital requirements providing insights, regarding a wide array of business initiatives
• Utilize structured securities and provide expertise on theory and mathematics behind the data
• Manage market, credit, and operational risks to forecast losses and compute capital requirements
• Participate in the discussion related to analytical strategies, modeling and forecasting methods
• Identify structure to influence global assessments, inclusive of technical, audit and market perspectives
• Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills

Required Qualifications:

• 4+ 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:

• Person would be required to work individually or as part of a team on data science projects and work closely with business partners across the organization.
• He/she would be developing statistical/machine learning models using various techniques (supervised, unsupervised, semi-supervised) and technologies including but not limited to SAS, R, Python, Spark, H2O, Aster etc.
• Design, develop, and fine-tune Generative AI models for various banking applications.
• Engineer effective prompts to optimize model performance and output relevance.
• Conduct comprehensive evaluations of Gen AI models and agentic systems to ensure accuracy, reliability, and ethical compliance.
• Collaborate with cross-functional teams to integrate Gen AI capabilities into existing analytics workflows.
• Develop frameworks for continuous monitoring and improvement of Gen AI models
• BS/BA degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis
• Experience with supervise unsupervised & semi supervise learning models
• Experience with Deep-learning, Artificial intelligence techniques - NLP, Text mining, Image/Voice processing, digital analytics
• Experience with Gen AI frameworks such as LangChain, LlamaIndex, and Hugging Face Transformers.
• Expertise in prompt engineering techniques for large language models.
• Hands-on experience with Gen AI model evaluation metrics and benchmarking tools.
• Knowledge of agentic workflows and autonomous AI systems.
• Familiarity with model interpretability and responsible AI practices in Gen AI.
• Strong proficiency in python

Job Expectations:

• Data mining and Insights
• Trend Analysis, forecasting and pattern recognition
• Find opportunities in the data and able to communicate to the partners
• Consult with partners to define issues/information needs
• Present findings to multiple levels of management
• Ensure that analyses are delivered on time, while surpassing partner expectations
• Ensure partner transparency throughout the life of the project
• Proactively seek opportunities to increase the value of analysis
• Strong oral and written communication and consultative skills