Quantitative Modeler Manager (Multiple openings) in Charlotte, NC.

U.S. Bank National Association•Charlotte, NC

About The Position

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One. Job Description U.S. Bank is seeking a full-time Quantitative Modeler Manager (Multiple openings) in Charlotte, NC. Essential Responsibilities: Lead and work with team members to create, test, document, implement, and oversee the usage of complex statistical and machine learning algorithms and forecasting models covering a variety of products or services used as part of the financial decision-making and risk management process. Specific duties include: Documenting the creation and testing of advanced statistical and machine learning algorithms to develop and optimize models for overseeing forecasting models and calculating risk limits; Overseeing a team to deliver models, analytics and assumptions that contribute to the analysis of balance sheet, Asset-Liability, liquidity risk, investment portfolio risk, interest rate risk, forecasting, quantitative model and other associated risk; Constructing and presenting materials for audiences including to senior leadership and regulatory and business partners; Providing timely responses to ad hoc data and on-demand requests; Researching and evaluating data quality on big datasets and determining suitability for model building; Performing data analysis and build model to calculate risk limits and working on technical implementations, including collection and refinement of Financial Data Warehouse, General Ledger Database, Data ETL design, and development of control processes; Performing data interpretation and visualization using SQL, C++, Python Seaborn, Matplotlib, and Excel; Creating model development and/or validation documentation, such as presentations, written reports, model or reporting code documentation, business requirements, monitoring reports and related code, and procedures; Developing and maintaining internal models and testing and configuring vendor solutions to ensure conceptually sound designs, proper implementation, and acceptable model performance; Applying innovative techniques to drive continuous improvements in model effectiveness and efficiency, such as reducing false positives; Providing strategic consultation and thought leadership to senior/executive level business partners; Updating Archer with detailed analysis and documentation once identified issue, also maintaining the up-to-date issue management procedure and implementation; Overseeing deposit and other forecast modeling process and conduct periodical review and challenge; Leading testing and review & challenge for different stress testing models, conduct Recovery & Resolution Planning and calibration; and Monitoring daily different Liquidity Stress Testing scenarios and operational calculation, raise review and challenge questions. Uses the following tools/technologies: SQL, C++, Python, FDW, Essbase, TensorFlow, Seaborn, Matplotlib, VBA, Excel, ETL. Multiple openings.

Requirements

This position requires a Master’s degree or equivalent in Financial Technology or Financial Management and 2 years of experience in a risk consulting or financial/quantitative analysis related occupation.
Must also have 24 months of experience with each of the following: 1) Risk management, including analyzing balance sheet, asset-liability, liquidity, investment portfolio, interest rate risks, forecasting, and quantitative models. 2) Applying statistical principles and machine learning algorithms to develop and optimize models for overseeing different quantitative forecasting models and calculating risk limits. 3) Performing data interpretation and visualization using SQL, FDW, Essbase, C++, Python Seaborn, Matplotlib, VBA, and Excel. 4) Technical implementations, including collection and refinement of Financial Data Warehouse, General Ledger Database, Data ETL design, and development of control processes. 5) Deposit modeling and Stress testing and recovery and resolution planning (RRP). Will accept experience gained before, during or after Master’s program. Employer will accept experience gained concurrently.
U.S. Bank is subject to and conducts background checks consistent with the regulatory requirements applicable to our industry and operations.
This position is not eligible for visa sponsorship.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Responsibilities

Documenting the creation and testing of advanced statistical and machine learning algorithms to develop and optimize models for overseeing forecasting models and calculating risk limits
Overseeing a team to deliver models, analytics and assumptions that contribute to the analysis of balance sheet, Asset-Liability, liquidity risk, investment portfolio risk, interest rate risk, forecasting, quantitative model and other associated risk
Constructing and presenting materials for audiences including to senior leadership and regulatory and business partners
Providing timely responses to ad hoc data and on-demand requests
Researching and evaluating data quality on big datasets and determining suitability for model building
Performing data analysis and build model to calculate risk limits and working on technical implementations, including collection and refinement of Financial Data Warehouse, General Ledger Database, Data ETL design, and development of control processes
Performing data interpretation and visualization using SQL, C++, Python Seaborn, Matplotlib, and Excel
Creating model development and/or validation documentation, such as presentations, written reports, model or reporting code documentation, business requirements, monitoring reports and related code, and procedures
Developing and maintaining internal models and testing and configuring vendor solutions to ensure conceptually sound designs, proper implementation, and acceptable model performance
Applying innovative techniques to drive continuous improvements in model effectiveness and efficiency, such as reducing false positives
Providing strategic consultation and thought leadership to senior/executive level business partners
Updating Archer with detailed analysis and documentation once identified issue, also maintaining the up-to-date issue management procedure and implementation
Overseeing deposit and other forecast modeling process and conduct periodical review and challenge
Leading testing and review & challenge for different stress testing models, conduct Recovery & Resolution Planning and calibration
Monitoring daily different Liquidity Stress Testing scenarios and operational calculation, raise review and challenge questions

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
In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements).