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$126,800–$221,300.
Based on 240 similar postings.
Employer
About Wells Fargo
Wells Fargo & Company is one of the largest banks in the United States, providing banking, investment, mortgage, and consumer and commercial finance products and services nationwide. Industry: Banking & Financial Services
Wells Fargo currently has
33 open roles
on FindRole.
Listed pay typically runs
$159,000–$260,000
across 13 roles with salary data.
The 2027 Quantitative Analytics Program Capital Markets (PhD) – Early Careers is a twelve-month development program where PhD candidates apply advanced analytics, artificial intelligence, and machine learning to complex business challenges within the capital markets domain. Participants rotate through two six-month periods to build pricing and risk models for trading desks, enhance production models to mitigate performance deterioration, develop simulation models to forecast losses for trading portfolios, and create benchmark models to assess limitations of existing systems. The role requires expertise in Python, C++, SQL, and Java, alongside mastery of mathematical and numerical methods including Monte Carlo methods, differential equations, linear algebra, applied probability, and statistics. Candidates will utilize these tools to provide analysis of metrics, validate model designs, and implement data-driven solutions to support risk management and business strategy in a collaborative environment.
Develop pricing and risk models for use by various trading desks.
Enhance production models to mitigate performance deterioration.
Create simulation models to forecast losses for trading portfolios.
Build benchmark models to assess the limitations of existing production models.
Provide analysis and reporting on metrics used to evaluate ongoing model performance.
Apply statistical and quantitative techniques to validate model design, calibration, and implementation.
Utilize advanced analytics, artificial intelligence, and machine learning to solve complex business challenges.
Design and deliver scalable solutions using data and software engineering skills.
What we're looking for
Must have 2+ years of Quantitative Analytics experience or equivalent through work, training, or education.
Must hold a Master's degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or a quantitative discipline.
Currently pursuing a PhD with an expected graduation between December 2026 and June 2027, or completed a PhD after May 2024 while completing a postdoc (preferred).
Must possess excellent programming skills and experience using statistical software packages such as Python, C++, SQL, and Java (preferred).
Must have demonstrated knowledge in mathematical and numerical methods including Monte Carlo methods, differential equations, linear algebra, applied probability, and statistics (preferred).
Must possess strong quantitative and analytical skills to apply data analysis, modeling, visualization, and generative AI to generate insights (preferred).
Must possess strong communication skills and the ability to work effectively in collaborative analytical settings (preferred).
Must have strong business acumen and an understanding of capital markets (preferred).
Python
C++
SQL
Java
Machine Learning
Generative AI
Monte Carlo Methods
Linear Algebra
Statistics
Data Analysis
Modeling
Risk Management
Differential Equations
Applied Probability
Python
Go
C++
Rust
Spark
Large Language Models
Generative AI
Retrieval-Augmented Generation
LangChain
LangGraph
CrewAI
LoRA
PEFT
RLHF
PPO
DPO
GRPO
GCP
Distributed GPU Training
Quantization
Python
C++
Machine Learning
Data Science
Quantitative Modeling
Statistical Modeling
Algorithmic Trading
Financial Engineering
Portfolio Optimization
Risk Management
Options Pricing Theory
Alpha Research
Data Analytics