Fraud Transaction Risk Oversight (2LOD) Risk Analyst

Your Opportunity

At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together.

Group Overview

The Transaction Risk Oversight and Monitoring (TROM) is a department within the Financial Crimes Risk Management Enterprise. Our charter is to protect our clients' and the firm's assets by assisting in prevention and mitigation of fraud losses. TROM is responsible for overseeing 1LOD strategies which interdict fraud perpetrated by criminals in our Move-Money products and accounts - Wires, ACH, New Accounts, Visa transactions, Bank Bill Pay, Journals and other Schwab products. Additionally, TROM performs risk policy gap and risk strategy gap analysis and focuses on firmwide scam impacts.

The team is responsible for effectively challenging new strategies developed by our internal 1LOD partners, analyzing current fraud trends, and assuring that overall strategies are working as intended. The team also works closely with our model product owners, Schwab Model Risk Oversight organization, Internal Audit teams, and our business stakeholders and in Banking and Brokerage operations to assess risk in areas impacting fraud losses, and adverse client experience.

Responsibilities

The ideal candidate will help drive the success of the 2LOD Risk Oversight Program. Senior Manager, an individual contributor role, will work closely with peers and business partners to identify risks and target illicit behaviors, use data to quantify fraud trends, losses, behaviors, gaps in policies and procedures, and support effective and efficient management of fraud scenarios in the Wires, Journal, ACH, Visa, Check, and New Account product spaces. This position requires a candidate to be a self-starter and someone with strong analytical, technical, and communication skills as well as someone who is highly reciprocal.

Key Responsibilities include but are not limited to:

• 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 daily
• Partner with technical and non-technical resources across the business to leverage their support and to deliver valuable solutions

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

• 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
• Monitor strategies performance and perform impact analyses on recommended changes
• Create effective presentations and communicate analysis approach, methodologies, summary of findings, and recommendations to business partners
• 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
• Provide support to team members through training and mentorship

What you have

Required Qualifications

• Bachelor's degree in Statistics, Mathematics, Economics, Business Analytics, Operations Research, or similar quantitative field
• 2+ years' experience in analytical roles developing intermediate/advanced SQL queries and gathering data from transactional databases across multiple platforms
• Proven ability to leverage PowerPoint and other MS Office Applications to effectively present findings
• Highly analytical with ability to solve problems and successfully understand and articulate the linkage between business decisions, business objectives, and analytical approaches & findings
• Programming skills leveraging analytical tools such as SAS, R or Python
• Ability to evaluate large quantities of data, summarize key findings and recommend a course of action to management
• Strong interpersonal skills to successfully build long-term relationships with colleagues and business partners
• Highly effective verbal and written communication
• Understanding of risk-based decision strategy development and decision engines

Preferred Qualifications

• Advanced quantitative degree
• Financial Crimes experience
• Financial services experience
• Fraud strategy development hands on experience
• Oversight experience in Fraud and Risk Management space
• Experience with Tableau and creating dashboards

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