American Express Risk Analyst Letter of Interest
July 31, 2026
Subject: Letter of Interest for Risk Analyst Opportunities at American Express
Dear American Express Recruiting Team,
I am writing to express my strong interest in Risk Analyst opportunities at American Express. Throughout my career in financial
services, enterprise risk management, and quantitative analytics, I have consistently admired American Express for its world-
class reputation in customer trust, data-driven decision-making, and risk governance excellence. American Express’s
commitment to backing its Card Members while pioneering advanced fraud prevention and risk intelligence aligns seamlessly
with my background in credit risk assessment, predictive analytics, and regulatory compliance monitoring. I am eager to
leverage my analytical toolkit, statistical modeling background, and risk strategy experience to support American Express in
delivering secure financial products and driving sustainable portfolio growth.
Currently serving as a Senior Quantitative Risk Analyst at Vanguard Financial Group, I specialize in evaluating credit loss
exposure, constructing risk monitoring dashboards, and optimizing fraud detection models across consumer credit portfolios. My
academic background includes a Master of Science in Applied Statistics and Data Analytics from New York University and a
Bachelor of Science in Finance. Over the past five years, my professional responsibilities have centered on extracting
actionable insights from large-scale transactional datasets using SQL, Python, and SAS, while partnering with business leaders
to establish clear KPI tracking and risk mitigation frameworks.
Across my quantitative risk management tenure, I have consistently delivered measurable improvements to credit decision
accuracy, fraud mitigation, and operational efficiency. Recently, I led the redevelopment of an automated credit underwriting
model for consumer revolving credit accounts, combining logistic regression techniques with XGBoost machine learning
algorithms in Python. This initiative improved default prediction accuracy by 22% while accelerating auto-approval processing
times by 30%. Additionally, by designing dynamic Power BI and Tableau dashboards to monitor real-time transaction anomalies,
my team identified emerging synthetic identity fraud vectors, preventing an estimated $4.2 million in annual fraudulent charge-
offs while reducing false-positive merchant declines by 15%.
I believe that effective risk management is a collaborative discipline that directly enables business growth rather than restricting
it. Throughout every analytical initiative, I partner closely with data scientists, compliance professionals, finance managers,
software engineers, and internal auditors to ensure risk strategies are technically sound, commercially viable, and fully
compliant with regulatory standards. My approach emphasizes translating complex statistical outputs into transparent executive
summaries, ensuring senior leadership and cross-functional partners can make informed, data-driven decisions that balance
risk exposure with customer satisfaction.
What excites me most about joining American Express is the company’s legacy of innovation in global payments and its
forward-thinking application of risk intelligence. American Express operates one of the world's most sophisticated closed-loop
payment networks, presenting unique opportunities to analyze rich transactional data and deploy cutting-edge risk models.
Working within American Express’s collaborative culture would enable me to contribute to industry-leading risk strategies,
protect Card Members from evolving financial threats, and support responsible business growth across global markets.
Thank you for your time, consideration, and leadership in global financial services. I welcome the opportunity to discuss how my
quantitative background, risk modeling experience, and passion for data-driven decision-making align with American Express’s
strategic risk management objectives.
Sincerely,
Julian Mercer
Senior Quantitative Risk Analyst
Vanguard Financial Group • New York, New York
