Fraud Investigation Supervisor jobs in Fargo, ND

We are now hiring for an exciting opportunity as Quantitative Model Analyst 4 within U.S. Bancorp’s Enterprise Fraud Strategy team.

The successful candidate will play a key role in U.S. Bank’s Enterprise Fraud Strategy team analyzing fraud trends and evaluating the effectiveness of entire portfolios of fraud rules for a variety of transaction types. Specific results focus on documenting the creation and/or testing of advanced models/strategies and communicating results to stakeholders within the Bank. Deliverables include the quantitative strategy development documentation, performance assessment such as: presentations, written reports, model or reporting code documentation, business requirements, monitoring reports and related code, and procedures. The models/strategies may cover a variety of products or services; however, all are used as part of the financial decision-making or fraud detection processes. In addition to having a strong quantitative and analytical background, we are looking for an individual with passion to drive change, comfortable multi-tasking, and thinking out of the box to build an efficient and more agile process to gain competitive advantage in our industry. This position may occasionally liaise with U.S. Bank’s Model Risk Governance (MRG) or other internal model development teams to continuously drive improvement with enhancements to reporting, monitoring and documentation.

• Bachelor’s degree in a quantitative field, and eight or more years of relevant experience

• MA/MS in a quantitative field, and five or more years of related experience

• PhD in a quantitative field, and four or more years of related experience

Preferred Skills/Experience

• Strong statistical modeling experience using decision trees, advanced strategy development, performance assessments, and treatment analysis.

• Experience coding in various languages (SQL, R, Python, SAS Enterprise Miner, etc.) to explore and perform analytical analysis on large, disparate and complex data.

• Thorough knowledge of fraud, strategic planning, and banking operations.

• Comprehensive knowledge of bank systems, banking documents, and financial products including credit cards, ACH transactions, wires, checks and other electronic transfers.

• Analytical Abilities / Financial Acumen – Systematic application of a combination of inductive and deductive reasoning to examine information, interpret results, and arrive at well-founded logical conclusions.

• Excellent written and verbal communication skills.

• Demonstrated project management, organization skills, and Agile experience.

• Advanced knowledgeable of quantitative and qualitative risk factors, industry risks, competition risks, and risk management approaches.

• Demonstrated independence, teamwork and leadership skills.

• Advanced understanding of applicable laws, regulations, financial services, and regulatory trends that affect assigned line of business.

• Strong statistical modeling background based on technical training or advanced education in a quantitative field.

• Advanced knowledge of various regression techniques, parametric and non-parametric algorithms, times series techniques, and other statistical models, various model validation tests/methodologies, using SAS or similar statistical package.

• Familiarity with model governance or model validation roles.

• Strong data compilation, programming skills and qualitative analysis skills.

NOTE: This role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.