Apply on Employer Site

U.S. Bank · 1 day ago

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

Charlotte, NC

Full-time

Onsite

Mid, Senior Level

$96K/yr - $130K/yr

2+ years exp

U.S. Bank is a financial services company focused on helping customers and communities thrive. They are seeking a full-time Quantitative Modeler Manager responsible for leading a team to develop and oversee complex statistical and machine learning models for financial decision-making and risk management.

BankingFinancial ServicesInsuranceMortgageWealth Management

No H1B

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

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

Qualification

Risk managementStatistical principlesMachine learning algorithmsData interpretationModel developmentSQLPythonC++ETLVBAExcelSeabornMatplotlibFinancial Data WarehouseEssbase

Required

Master's degree or equivalent in Financial Technology or Financial Management

2 years of experience in a risk consulting or financial/quantitative analysis related occupation

24 months of experience with risk management, including analyzing balance sheet, asset-liability, liquidity, investment portfolio, interest rate risks, forecasting, and quantitative models

24 months of experience applying statistical principles and machine learning algorithms to develop and optimize models for overseeing different quantitative forecasting models and calculating risk limits

24 months of experience performing data interpretation and visualization using SQL, FDW, Essbase, C++, Python Seaborn, Matplotlib, VBA, and Excel

24 months of experience with technical implementations, including collection and refinement of Financial Data Warehouse, General Ledger Database, Data ETL design, and development of control processes

24 months of experience with deposit modeling and Stress testing and recovery and resolution planning (RRP)