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Charles Schwab · 6 hours ago

Senior Manager, Risk Analytics/Modeling

US-NE-Omaha

Full-time

Hybrid

Senior Level

$104K/yr - $170K/yr

5+ years exp

Charles Schwab is a financial services company that empowers individuals to make impactful career decisions. They are seeking a Senior Manager for their Fraud Risk Oversight team, responsible for overseeing fraud risk management, analyzing fraud trends, and providing actionable insights to improve fraud strategies and controls.

Financial Services

No H1B

Responsibilities

Work independently and collaboratively throughout the analytics lifecycle including data extraction/preparation, analysis, and documentation of results

Leverage tools and analytical applications such as SQL, Python, R, and SAS in daily work to build repeatable analytics and monitoring solutions

Maintain a full-lifecycle view across products/channels; identify emerging fraud patterns, loss drivers, and behavioral changes that impact risk and control performance

Monitor and assess the design and performance of fraud models, rules, and other controls; identify gaps, drift, and opportunities to improve effectiveness and efficiency

Partner with technical and non-technical resources across the business to leverage their support delivering solutions while ensuring analytical outputs are understood, usable, and decision relevant

Work with Operations and 1LOD partners to identify gaps in system/operations process flows ensuring alignment of strategy/intent, execution, and policies/procedures

Pro-actively analyze data to uncover insights that increase business value and recommend additional solutions not considered by the business partners

Suggest enhancements to fraud strategies (rules) to effectively target risky behaviors and reduce fraud exposure while considering operational impacts (e.g., false positives, case volumes)

Create effective presentations and communicate analysis approach, methodologies, key findings and recommendations to business partners and leadership

Expand knowledge of red flags, emerging risks, and analytical methodologies used to target various payment channel frauds and related illicit activity

Approach analytical problems with a blend of statistical/mathematical rigor and practical business intuition

Qualification

SQLPythonSASFraud strategy developmentData analysisRisk-based decision strategyFinancial Crimes experienceVisualization toolsAnalytical skillsCommunication skillsProblem-solving skills

Required

Bachelor's degree in Statistics, Mathematics, Economics, Business Analytics, Operations Research, or similar quantitative field

5+ years' experience in analytical roles developing intermediate/advanced SQL queries and gathering data from transactional databases across multiple platforms

Strong programming skills leveraging analytical tools such as SAS, R or Python (hands on development and analysis)

Highly analytical with ability to solve problems and successfully understand and articulate the linkage between business decisions, business objectives, and analytical approaches & findings

Advanced ability to evaluate large quantities of data, summarize key findings and recommend a course of action to management

Understanding of risk-based decision strategy development and decision engines

Preferred

Advanced quantitative degree

Financial Crimes experience

Financial Services experience

Cryptocurrency experience

Fraud strategy development hands on experience (rules/controls, monitoring, tuning)

Oversight experience in Fraud and Risk Management space (independent monitoring/oversight reviews; evidence-based challenge)

Experience with Visualization tools (Power BI / Tableau)

Demonstrated experience monitoring performance of models/rules/controls (e.g., drift, segmentation, false positives/false negatives) and translating results into partner actions