Fraud Analytics and Innovation Senior Analyst

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Job Overview:

This job is responsible for performing more complex analysis and modeling to minimize fraud loss exposure and negative impacts to the customer experience. Key responsibilities include utilizing a variety of systems, such as Excel, SAS, SQL, Tableau, and other relational data bases, to provide analytical support on strategies, ensure goals are met, and propose policy/procedural changes within segmentation structures to produce optimal results. Job expectations include evaluating data to assess potential fraud risk and creating mitigation strategies.

As a Deposit, Check and Mules fraud strategy analyst with the Client Protection organization, you will capitalize on your technical abilities and strategic thinking to solve business challenges and seek opportunities for improvement. The teams you are supporting focus on identifying criminals who are trying to:

• Impersonate the identities of legitimate customers,

• Steal money from the bank,

• Move illegally obtained funds through the financial system for use in subsequent illegal activity, and more.

You will thus join a team of fraud professionals who are dedicated to stopping criminals and protecting customers from ever-evolving threats. In this role you will spend time analyzing difficult problems as we try to stay one step ahead of the fraudsters. You will work with one of our team's most skilled and tenured technical SMEs to become an expert in the data, infrastructure, and strategic considerations that impact the fraud and deposit space, supporting everything from data visualization to internal modeling and development efforts. You will support data infrastructure, data sourcing, reporting, visualization, automation, and more. In doing so, you will position yourself as a cross-organizational resource to help solve a broad spectrum of problems in the current financial services landscape.

Responsibilities:

• Data Analysis: Leverage data analytics tools and techniques to analyze large datasets, identify patterns, and uncover indicators of deposit fraud activity. Develop predictive models and scoring mechanisms to prioritize potential cases.

• Data Infrastructure: Serve as a subject matter expert on data sources, visualization and KPI tracking frameworks and methodologies, and the technical workings of our fraud and deposits infrastructure, assisting numerous teams and stakeholders to help them interact effectively with the fraud strategy space.

• Collaboration: Collaborate with various departments, including compliance, fraud investigations, and operations, to ensure effective coordination and information sharing.

• Reporting: Prepare regular reports including key performance indicators, trends, and recommendations for improvement.

• Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance

• Utilizes a variety of systems, such as Excel, SAS, SQL, Tableau, and other relational data bases, to provide analytical support on strategies, ensure goals are met

• Evaluates data to assess potential fraud risk and creating mitigation strategies

• Proposes policy/procedural changes within segmentation structures to produce optimal results

• Recommends ways to help the business achieve desired outcomes and make informed business decisions using data analysis outputs

• Leads the coordination of the production of product performance reports and updates for senior management

*** This position is not eligible for sponsorship.***

Required Qualifications:

• 2+ years of SAS/SQL coding

• Intermediate Excel and PowerPoint capability

• Intermediate data science skills

• Experience developing Tableau dashboards

• Excellent communication and presentation skills

• Ability to interact effectively and build relationships with business partners at all levels

• Experience in managing competing priorities

• Experience in the financial services industry

Desired Qualifications:

• Bachelor’s Degree in a relevant field

• Advanced SAS/SQL coding ability

• Fraud and/or Claims background

• Understanding of advanced data analytics and modeling techniques

• Functional knowledge of multiple products and/or channels (e.g. Credit, Debit, Digital, Call Center, etc.)

• Master's degree in a relevant field.

• Certification in fraud examination or risk management.

• Experience presenting to senior leaders

• Experience with hypothesis testing and/or feature prioritization.

Skills:

• Business Analytics

• Business Intelligence

• Data Quality Management

• Fraud Management

• Monitoring, Surveillance, and Testing

• Collaboration

• Data Visualization

• Oral Communications

• Problem Solving

• Written Communications

• Analytical Thinking

• Critical Thinking

• Data and Trend Analysis

• Innovative Thinking

• Research

For internal employees; participation in a work from home posture does not make you ineligible to post.

Shift:

1st shift (United States of America)

Hours Per Week:

40