U. S. Bank

Finance

QuantitativeModelAnalyst

$86–102k Columbus, Ohio, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Quantitative Model Analyst at U. S. Bank. Skills: Statistical modeling, Model validation, AML regulations. Develop statistical models. Validate statistical models”

What You'll Achieve.

Ensure models meet regulatory expectations; Ensure models meet internal risk standards; Identify potential illicit activity

Industry & Context.

Finance
Problems you'll solve

Analytical skills

Eligibility Requirements

Not eligible for visa sponsorship, Requires working from a U. S. Bank Location three (3) or more days per week

What They're Looking For.

Must Have

Bachelor’s degree in a quantitative field, three or more years of relevant experience, MA/MS in a quantitative field, less than three years of related experience

Nice to Have

Experience with internally developed and/or vendor-provided models for transaction monitoring or financial crime detection, Advanced knowledge of statistical modeling techniques and validation methodologies, programming skills in SAS, Python, SQL, or similar, Understanding of AML regulations, Ability to interpret and communicate complex model behavior to non-technical stakeholders, organizational, analytical, and project management skills, Demonstrated ability to work independently and collaboratively across teams

What You'll Do.

Develop statistical models

Validate statistical models

Test statistical models

Document statistical models

Implement statistical models

Monitor suspicious activity

Identify anomalous transaction activity

Assess model performance

Meet regulatory expectations

Meet internal risk standards

How You'll Work.

Team & Collaboration

Work independently on designated subject matter; Receive direction from manager and senior analysts; Communicate model performance to stakeholders; Work collaboratively across teams

Communication Scope

Excellent communication skills; Tailor communications to multiple target audiences; Communicate model performance, limitations, and findings

Process & Methodology

Project management skills

Full Job Description

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_** _**_NOTE: This position is not eligible for current or future visa sponsorship._**_ This position will report to the Enterprise Financial Crimes Compliance Financial Intelligence Unit Monitoring Management & Development team. The candidate will develop, validate, test, document, and implement complex statistical models used to monitor suspicious activity within U.S. Bank customer accounts. The candidate will both take ownership of existing models and support the development of new models designed to identify anomalous transaction activity by Bank customers that is indicative of potential illicit activity. The candidate will receive direction from their manager and other senior analysts, while also working independently on their designated subject matter. Key responsibilities include creating/developing models, creating/reviewing model documentation, conducting periodic performance assessments, tuning/calibration and ensuring models meet regulatory expectations and internal risk standards. The position also requires clear communication of model performance, limitations, and findings to stakeholders across compliance, risk, and technology teams. The candidate must have excellent communication skills and be able to tailor communications to multiple target audience with the appropriate level of technical detail for each. **Common deliverables include:** · Model development artifacts · Model performance assessments

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