Strategic Analytics [Multiple Positions Available]

DESCRIPTION:

Duties: Develop and optimize fraud screening and acquisition strategies for deposit accounts focusing on reducing fraud losses and enhancing decision rule performance.

Analyze large-scale datasets to identify emerging fraud patterns, deploying adaptive countermeasures and targeted risk strategies.

Create and maintain internal datamarts, improving data accessibility and enabling rapid deployment of fraud solutions across initiatives.

Build interactive dashboards and automated reports using Excel, Tableau, and PowerPoint to enhance executive visibility into fraud KPIs and operational risk metrics.

Analyze fraud activity and trends across digital and branch channels, supporting the Deposit Fraud Risk portfolio through advanced data transformation and modeling.

Collaborate with Data Science and Model Risk teams to train, validate, and monitor machine learning models, ensuring model integrity and compliance with governance standards.

Conduct A/B testing, uplift modeling, segmentation, and hypothesis to evaluate fraud mitigation strategies.

Ensure compliance with regulations like the Fair Credit Reporting Act (FCRA) by performing adverse action reconciliation and supporting audit documentation.

Partner with Product, Compliance, Marketing, and Engineering teams to address fraud-related process gaps, enhancing onboarding workflows with embedded risk controls.

Conduct exploratory data analysis (EDA) and trend mining to identify fraud trends and inform strategic risk roadmaps.

Present fraud strategy outcomes and loss trend analyses to senior executives through data-driven presentations and summaries, influencing decision-making aligned with evolving fraud and risk trends.

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Information Technology, Analytics, or related field of study plus three (3) years of experience in the job offered or as Strategic Analytics Associate, Risk Architect, Data Analyst, or related occupation.

The employer will alternatively accept a Bachelor's Degree in Information Technology, Analytics, or related field of study plus five (5) years of experience in the job offered or as Strategic Analytics Associate, Risk Architect, Data Analyst, or related occupation.

Skills Required: This position requires three (3) years of experience with the following: analyzing large-scale datasets with SAS and SQL to identify fraud patterns; creating and maintaining datamarts with SQL and SAS; building dashboards and automated reports using Excel, Tableau, and PowerPoint; analyzing fraud activity and trends across digital and branch channels; conducting A/B testing, uplift modeling, segmentation, and hypothesis testing in SAS and SQL; partnering with cross-functional teams to enhance processes and implement risk controls; conducting exploratory data analysis (EDA) and trend mining using SAS and SQL; presenting data-driven insights and analyses to senior executives to influence decision-making; data mining...