U.S. Bank · 4 hours ago
Senior Quantitative Development Manager
Charlotte, NC
Full-time
Hybrid
Senior Level, Lead/Staff
$144K/yr - $169K/yr
8+ years expU.S. Bank is on a journey to help customers and businesses make better financial decisions. They are seeking a strategic leader for their Model Development & Decision Science team, responsible for overseeing the development of credit risk models in compliance with regulatory requirements.
BankingFinancial ServicesInsuranceMortgageWealth Management
Responsibilities
Data compilation and statistical analysis: analyze historical data, trends and recommend segmentation based on historic correlations to key economic variables
Business Unit partnership: review and revise segmentation and modeling approach based on changes in business unit, portfolio or economic intuition
Development: Develop and document model methodology and selection evidence for validation and third party review
Coding: Using various coding languages (Python, R, SAS, SQL) present final development code for validation and implementation
Monitoring and Model Performance: systematically track and report on the ongoing performance and stability of models
CECL/CCAR Submission: Documentation and presentation of portfolios analysis supporting modeled outputs, respective overlays for emerging risks and reasonableness analysis
Transformation - Leverage automation tools and Al to increase efficiency, reduce operational risk, and enhance usability and interpretability of results
In addition, this role will oversee offshore resources to supplement and support the U.S.-based team on all areas above
Qualification
Required
Bachelor's degree (MA/MS/PhD strongly preferred) and eight or more years of relevant experience
Four or more years of experience leading a quantitative modeling team
Experience leading quantitative teams, strong understanding of predictive modeling techniques, and familiarity with credit risk data at large regulated financial institutions
Strong technology background including fundamental software engineering principles, automation tools, cloud-based tools and infrastructure, database systems, and dashboard/visualization tools
Exceptional leadership skills and ability to drive transformation initiatives that span multiple teams and stakeholders
A mindset for collaboration, customer centricity, and risk management
Fluent programming skills
Strong understanding of commercial portfolios and statistical methods
Excellent communication, partnership and attention to detail
Strong background in data science, predictive modeling, and technology
A strategic vision for the team including next generation model approaches (e.g. AI/ML, Gen AI)
Preferred
Master's Degree or PhD in a quantitative field such as computer science, data science, mathematics, or statistics
10 or more years of experience in a leadership role in model development/implementation, software engineering, or related area
Strong familiarity with credit risk modeling and industry-standard approaches (e.g. PD, LGD, EAD)
Deep understanding of banking, financial metrics, and credit risk management
Knowledge of banking regulation and requirements for stress testing and credit reserves
Demonstrated success attracting talent, building, and leading teams of model developers or analysts in similarly technical fields
Excellent executive presence and verbal and written communication skills
Ability to build strong relationships with a wide range of individuals from risk, finance, model validation, technology, and regulators
Strong analytical and problem solving skills, coupled with thoroughness and attention to detail
Ability to prioritize work, meet deadlines, work under pressure and independently while balancing multiple priorities in a dynamic and complex environment
Strong analytical, organizational, problem-solving, and project-management skills
Experience working with large datasets and building or validating advanced statistical models (including regression and economic factor models)
Extensive experience in building credit models for commercial exposures; Experience interpreting and applying Basel A-IRB, CCAR/DFAST, CECL regulatory rules and experience working with financial institution regulatory agencies; Experience working with internal model validation and model risk management
Programming experience in Python, SAS (Base, STAT, and/or Enterprise Guide)
Experience with MS Word, Excel, and PowerPoint
Automation using Bash/shell scripting and orchestration tools like Apache Airflow
Relational databases, SQL query optimization
Code management and version control using Git
Cloud-based solution deployment (AWS or Azure) and containerization/orchestration tools (e.g. Docker, Kubernetes)
AI/ML and GenAI approaches
Microsoft Power Automate/ Power Apps
PowerBI or other visualization dashboards
Benefits
Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
Company
U.S. Bank
At U.S.
10001+ employees
H1B Sponsorship
U.S. Bank has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (20)
Funding
Current Stage
Public CompanyTotal Funding
$991MKey Investors
U.S. Department of the TreasuryMitsubishi UFJ Financial Group
2023-09-29Post Ipo Debt· $55M
2023-08-03Post Ipo Debt· $936M
1978-01-13IPO
Leadership Team
John C Stern
CFO
Shruti Patel
Executive Vice President & GM, CPO- Business Banking segment
Recent News
2026-01-22
2026-01-20
2026-01-20
Company data provided by crunchbase