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Executive Predictive Analytics Jobs in Delaware (NOW HIRING)

... predictive modeling, data analytics, and optimization techniques. Responsibilities * Build and refine matching models to evaluate Athena's Executive Partners (XPs) and clients, ensuring optimal ...

... predictive modeling, data analytics, and optimization techniques. Responsibilities * Build and refine matching models to evaluate Athena's Executive Partners (XPs) and clients, ensuring optimal ...

$150 - $200/hr

This position serves as the enterprise leader and executive sponsor for AI within the Automation ... intelligence, predictive exception handling, decision support, knowledge assistants, workflow ...

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Executive Predictive Analytics information

What are the key skills and qualifications needed to thrive as an executive in predictive analytics, and why are they important?

To thrive as an Executive in Predictive Analytics, you need advanced expertise in statistical analysis, data modeling, and business strategy, usually supported by a degree in data science, statistics, or a related field. Familiarity with analytics platforms such as SAS, R, Python, and big data tools, as well as certifications like Certified Analytics Professional (CAP), is highly beneficial. Exceptional leadership, communication, and strategic decision-making abilities set standout executives apart in this field. These skills enable leaders to drive data-informed organizational growth, align analytics initiatives with business objectives, and foster innovation across teams.

How does an executive predictive analytics professional typically collaborate with other departments to drive business outcomes?

An Executive Predictive Analytics professional often works closely with teams across marketing, finance, operations, and IT to align advanced analytics initiatives with broader business goals. They translate complex data insights into actionable strategies, facilitating data-driven decision-making at the executive level. Regular cross-functional meetings and workshops are common to ensure that predictive models are integrated into business processes and that stakeholders understand their impact. Collaboration is key, as these executives must communicate technical findings in an accessible way to influence strategic planning and organizational change.

What is an executive predictive analytics?

Executive Predictive Analytics refers to the use of advanced data analysis techniques and machine learning models by organizational leaders to forecast future business outcomes and inform strategic decisions. Executives use predictive analytics to anticipate market trends, identify risks and opportunities, and optimize resource allocation. This role requires a combination of business acumen, data science knowledge, and the ability to translate complex data into actionable insights for high-level decision-making.

What is the difference between Executive Predictive Analytics vs Data Scientist?

AspectExecutive Predictive AnalyticsData Scientist
Required CredentialsOften requires advanced degrees in business, analytics, or related fields; certifications in analytics toolsTypically requires degrees in computer science, statistics, or mathematics; certifications in programming and data analysis
Work EnvironmentStrategic, executive-level settings; focuses on business impact and decision-makingTechnical environment; involves data modeling, coding, and statistical analysis
Employer & Industry UsageUsed in corporate strategy, finance, marketing, and operations departmentsEmployed across tech, finance, healthcare, and research organizations

While both roles involve data analysis and predictive modeling, Executive Predictive Analytics focuses on strategic insights for leadership decision-making, whereas Data Scientists handle technical data modeling and algorithm development. The roles often overlap but differ mainly in scope and target audience.

What are the most commonly searched types of Predictive Analytics jobs in Delaware? The most popular types of Predictive Analytics jobs in Delaware are:
What cities in Delaware are hiring for Executive Predictive Analytics jobs? Cities in Delaware with the most Executive Predictive Analytics job openings:
Infographic showing various Executive Predictive Analytics job openings in Delaware as of June 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Lead Analytic Consultant - Global Employee Fraud Monitoring Strategies

Wells Fargo

Wilmington, DE • Hybrid

Full-time

Posted 15 days ago


Wells Fargo rating

7.8

Company rating: 7.8 out of 10

Based on 707 frontline employees who took The Breakroom Quiz

89th of 170 rated banks


Job description

About this role:

Wells Fargo is seeking a Lead Analytic Consultant to join the Global Employee Fraud Monitoring Strategies (GEFMS) team. This role is responsible for designing and implementing enterprise proactive monitoring rules to detect internal fraud, including ownership of rule development, control execution, and ongoing strategy maintenance.

The position partners with stakeholders and crossfunctional teams to assess fraud risks, identify emerging patterns, and enhance monitoring coverage through datadriven solutions. The role requires strong analytical expertise, sound judgment, and the ability to deliver solutions that are credible, wellgoverned, and sustainable.

In this role, you will:

  • Design, develop, and implement internal fraud detection rules to support enterprise proactive monitoring
  • Maintain and enhance fraud monitoring strategies to address evolving risks and business priorities
  • Execute and oversee monitoring controls to ensure consistent and effective fraud detection
  • Leverage SAS and SQL to analyze large, complex data sets and support rule development and performance evaluation
  • Translate business and control requirements into practical analytical solutions and rule logic
  • Partner with stakeholders and crossfunctional teams to implement monitoring solutions and drive control improvements
  • Evaluate rule performance and recommend enhancements to improve detection effectiveness and coverage
  • Support governance, documentation, and audit readiness for fraud monitoring activities
  • Operate with independence in managing deliverables, prioritizing work, and resolving analytical challenges

Required Qualifications:

  • 5+ years of Analytics, Reporting, Financial Modeling, or Statistics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 3+ years of handson experience with SAS and SQL, supporting datadriven rule development for fraud monitoring or identification of anomalous or outofpattern activity across large enterprise data sets

Desired Qualifications:

  • Deep domain expertise in employee misconduct, and conduct risk typologies, including behavioral indicators and emerging fraud patterns
  • Demonstrated experience designing and implementing rulebased detection strategies to identify potential fraud or outofpattern or anomalous activity
  • Experience leveraging large, complex datasets to build proactive monitoring solutions that identify potential fraud signals
  • Experience overseeing advanced analytics techniques, including statistical modeling, machine learning, and rulebased detection approaches
  • Experience operating within large, complex data environments with disparate data sources, systems, and database structures
  • Quantitative educational background (e.g., Statistics, Economics, Mathematics) with extensive applied analytics experience
  • Experience integrating and analyzing human resources, allegation, and business application data to develop holistic fraud risk insights and inform predictive monitoring strategies
  • Strong familiarity with the allegation lifecycle, including intake, sensitive matters, internal investigations, root cause analysis, and customer impact considerations
  • Strong executive communication skills, with the ability to clearly articulate analytical insights, risks, and recommendations to leadership, audit, and regulatory audiences
  • Proven track record delivering fraud detection and monitoring solutions that are defensible and withstand regulatory and audit review
  • Experience managing work in ambiguous, fastchanging environments with competing priorities and regulatory expectations
  • Familiarity with Python or additional analytics tools is preferred to support automation and analytical efficiency
  • Working knowledge of advanced analytics techniques, including supervised and unsupervised machine learning and natural language processing

Job Expectations:

  • Hybrid work schedule - three (3) days in office & two (2) days remote.
  • This position is not eligible for Visa sponsorship.

Location:

  • 1525 W WT Harris Blvd Charlotte, NC
  • 2200 Concord Pike, Wilmington, DE

Posting End Date:

2 Aug 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visitDisability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.


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About Wells Fargo

Sourced by ZipRecruiter

Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets, proudly serves one in three U.S. households and more than 10% of small businesses in the U.S., and is a leading middle market banking provider in the U.S. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 41 on Fortune's 2022 rankings of America's largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health and a low-carbon economy.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1852

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