Senior Analytics Manager - Global Fraud Monitoring Detection Analytics

Position: Senior Analytics Manager - Global Employee Fraud Monitoring Detection Analytics
About this role

Wells Fargo is seeking a Senior Analytics Manager to join the Global Employee Fraud Monitoring Detection Analytics (GEFMDA) team. This role is responsible for leading and overseeing development of enterprise‑level internal fraud proactive monitoring strategies, with accountability for analytical quality, prioritization, and delivery. The Senior Analytics Manager partners directly with executives, senior leaders, and cross‑functional risk teams to assess internal fraud events, identify emerging employee fraud risk patterns, and strengthen proactive monitoring capabilities across the enterprise.

This role operates in a highly complex, fast‑paced environment and requires strong people leadership, deep internal fraud domain expertise, and hands‑on experience building and governing data‑driven monitoring rules and detection strategies. The successful candidate will ensure monitoring solutions delivered by the team are credible, defensible, well‑governed, and able to withstand executive, regulatory, and audit scrutiny, while effectively managing capacity, priorities, and evolving risk demands.

In this role, you will:

* Lead, develop, and oversee a team of analytics professionals, providing direction, coaching, performance management, and workload prioritization

* Drive the end‑to‑end design, development, optimization, and governance of proactive internal fraud monitoring strategies, with a strong focus on building and refining rule‑based detection logic to identify potential internal fraud

* Establish and enforce rigorous analytical standards ensuring consistency, traceability, and defensibility of detection methodologies, rule logic, and outputs

* Lead the development of data‑driven rules leveraging large, complex enterprise datasets to identify anomalies, behavioral outliers, and emerging internal fraud risk signals

* Partner with executives and senior stakeholders to prioritize and deliver high‑risk, enterprise‑level initiatives with material operational and regulatory impact

* Translate complex business, risk, and control requirements into scalable analytical solutions, ensuring effective risk mitigation outcomes

* Serve as a trusted advisor and escalation point for senior leadership on internal fraud risk trends, monitoring effectiveness, and control gaps

* Ensure monitoring solutions withstand executive review, audit testing, and regulatory scrutiny

* Work independently with Internal Risk Management (IRM), Control, Audit, and other partners to provide oversight, challenge, and thought leadership on internal fraud risk and control enhancements

* Navigate ambiguity and shifting priorities while maintaining strong execution discipline, governance, and accountability

Required Qualifications:

* 7+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

* 3+ years of management or leadership experience

* 3+ years of hands‑on experience with SAS and SQL, supporting data‑driven rule development for fraud monitoring or identification of out‑of‑pattern or anomalous 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 rule‑based detection strategies to identify potential fraud or out‑of‑pattern 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 rule‑based detection approaches

* Experience operating within large, complex data environments with disparate data sources, systems, and database structures

* 3+ years of experience in an analytics leadership role, including responsibility for prioritization, quality oversight, and team development

* Quantitative educational background (e.g., Statistics, Economics, Mathematics) with extensive applied analytics experience

* Experience integrating and analyzing…