Senior Manager, Risk Analytics/Monitoring

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.
The Senior Manager position is an individual contributor role within our Analytics, Strategy, Data, & Solutions (ASDS) team, part of the Financial Crimes Risk Management (FCRM) organization. The team develops surveillance tools, creates customer risk solutions, and provides data and analytical expertise to FCRM teams and beyond. ASDS works closely with teams focused on modeling, model risk, anti-money laundering, enhanced due diligence, compliance, technology, and other areas to ensure a robust, well-coordinated approach to tackling financial crimes.

You will work closely with business partners to identify risks and target illicit behaviors. This position is responsible for analyzing data and providing recommendations to support effective and efficient management of Financial Crimes risk. You'll leverage advanced analytics, programming, and business acumen to drive impactful solutions.

What You'll Do

• Identify, extract, clean, aggregate, and analyze data from disparate systems using SQL and Python
• Critically evaluate and improve existing AML scenarios to ensure they target accurate behaviors and drive effective alerts
• Develop new rules and scenarios for AML transaction monitoring and other systems
• Analyze large, sophisticated data sets to identify and interpret new trends, patterns, and emerging risks
• Quantify the impact of scenario and model changes, employing methodologies to observe various AML outputs
• Support business partners with development, testing, implementation, and tracking of AML scenarios and models
• Build effective presentations and communicate analysis approach, methodologies, findings, and recommendations to business partners and leadership
• Design and maintain key performance indicator (KPI) reporting and evaluate data to ensure scenario performance; recommend and take vital actions based on findings
• Address exam requests and action plans through research, analyses, development of supporting artifacts, and process walkthroughs
• Expand knowledge of AML concepts, red flags, emerging risks, and analytical methodologies used to target money laundering and related illicit activity
• Collaborate with team members and business partners to deliver outstanding solutions
• Support development of team members through training and mentorship
• Manage projects from ideation through implementation, working with agile methodology and SDLC process
• Design and implement monitoring frameworks for cryptocurrency transactions across multiple platforms, deploy and optimize blockchain analytics tools to detect suspicious activity and mitigate financial crime risks, and provide subject matter expertise on crypto-related regulatory requirements and industry best practices

Applicants must be currently authorized to work in the United States on a full-time basis without employer sponsorship.
Please note: this position is M-F, 8am-5pm local time and a hybrid work model. It will be 4 days in-office, 1 day from home, during standard business hours. It is only available in the areas listed. Candidate must reside or be willing to relocate on their own to one of the listed areas.
What you have

Required Qualifications

• Must have experience in AML, Fraud, and/or Sanctions
• 5+ years of financial analysis, data analytics, and/or business intelligence experience
• 5+ years gathering data from disparate systems such as Teradata, Oracle, SQL Server, BigQuery, and/or other databases
• 3+ years of experience with