This role pays more than
80%
of similar roles. Most pay
$119,000–$175,750
— the shaded band above.
At the midpoint, this role pays about
$184k
versus about
$147k
for comparable roles.
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
44 open roles
on FindRole.
Listed pay typically runs
$159,000–$224,000
across 25 roles with salary data.
As a Securities Quantitative Analytics Associate, you will join the team to develop, implement, and maintain quantitative models and analytical frameworks for derivatives portfolios, including valuation adjustments and counterparty credit risk. You will perform quantitative analysis of financial instruments by applying mathematical, statistical, and financial theory to assess pricing, sensitivities, and risk exposures under various market conditions. Your daily work involves designing methodologies for stress testing and regulatory capital exercises while collaborating with trading and risk management teams to translate business requirements into technical solutions. The role requires a PhD in a quantitative field and proficiency in C++, Python, and SQL. You will utilize techniques such as Monte Carlo simulation, time series analysis, and regression to solve complex problems involving equities, fixed income, and structured products within the financial markets domain.
Develop, implement, and maintain quantitative models for valuation, risk measurement, and capital calculations of derivatives portfolios.
Perform quantitative analysis of financial instruments using mathematical and statistical theories to assess pricing and risk exposures.
Design and enhance analytical methodologies for stress testing, scenario analysis, and regulatory capital exercises.
Translate business requirements from trading and risk management teams into technical quantitative solutions.
Conduct peer reviews and model impact assessments to evaluate changes and support internal governance.
Maintain comprehensive documentation of models and processes to ensure transparency and compliance with risk standards.
Extract and analyze large-scale financial datasets using SQL and relational database systems.
Develop performance-sensitive quantitative models using C++ and Python programming languages.
What we're looking for
PhD in Physics, Statistics, Mathematics, Operations Research, or a related quantitative field.
At least 1 year of experience in the job offered or in a related quantitative analytics role.
Strong foundation in quantitative finance, statistics, probability theory, and linear algebra applied to securities pricing and risk modeling.
Extensive hands-on programming experience in C++ and Python for developing performance-sensitive quantitative models.
In-depth knowledge of financial markets and instruments including equities, fixed income, derivatives, and structured products.
Experience in quantitative modeling for financial markets, including pricing models like Black Scholes, binomial tree methods, and Monte Carlo simulation.
Proficiency in SQL and relational database systems for analyzing large-scale financial datasets.
Familiarity with version control systems (e.g., Git) and collaborative software development practices.
Python
C++
Value at Risk (VaR)
Structured Products
FRTB
Basel III
p;L attribution
Stress Testing
Quantitative Finance
Financial Engineering
Backtesting
Model Governance
Risk Analytics
Mortgage Modeling
Fixed Income
Derivatives
Python
C++
SQL
Java
Monte Carlo methods
Differential equations
Linear algebra
Applied probability
Statistics
Generative AI
Data Analysis
Modeling
Software Engineering
Data Management
Quantitative Analytics
Python
C++
SQL
Java
Machine Learning
Generative AI
Monte Carlo Methods
Linear Algebra
Statistics
Data Analysis
Modeling
Risk Management
Differential Equations
Applied Probability