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 PythonCritically evaluate and improve existing AML scenarios to ensure they target accurate behaviors and drive effective alertsDevelop new rules and scenarios for AML transaction monitoring and other systemsAnalyze large, sophisticated data sets to identify and interpret new trends, patterns, and emerging risksQuantify the impact of scenario and model changes, employing methodologies to observe various AML outputsSupport business partners with development, testing, implementation, and tracking of AML scenarios and modelsBuild effective presentations and communicate analysis approach, methodologies, findings, and recommendations to business partners and leadershipDesign and maintain key performance indicator (KPI) reporting and evaluate data to ensure scenario performance; recommend and take vital actions based on findingsAddress exam requests and action plans through research, analyses, development of supporting artifacts, and process walkthroughsExpand knowledge of AML concepts, red flags, emerging risks, and analytical methodologies used to target money laundering and related illicit activityCollaborate with team members and business partners to deliver outstanding solutionsSupport development of team members through training and mentorshipManage projects from ideation through implementation, working with agile methodology and SDLC processDesign 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 Sanctions5+ years of financial analysis, data analytics, and/or business intelligence experience5+ years gathering data from disparate systems such as Teradata, Oracle, SQL Server, BigQuery, and/or other databases3+ years of experience with bank, brokerage, or financial servicesAdvanced programming experience utilizing Python and SQLAdvanced ability to evaluate large quantities of data, summarize key findings, recommend a course of action, and present effectively to leadership and key stakeholdersExperience developing risk-based decision strategies and leveraging decision enginesExperience creating dashboards and visualizationsHighly effective communicator who can explain complicated subject matter to all stakeholders, including those less technically orientedTechnical understanding of agile methodology and SDLC processPositive demeanor, passion, professionalism, and strong work ethic with high level of integrity and ethicsSuperb attention to detailProficiency with Excel, PowerPoint, and other Microsoft Office productsBachelor’s degree in Statistics, Mathematics, Economics, Business Analytics, Finance, or related quantitative field

Preferred Qualifications:

ACAMS or ACFCS CertificationKnowledge of evolving crypto regulations and enforcement typologiesCryptocurrency Certifications, such as ACAMS CCAS or CFCS C2SDExperience using SASExperience with internal and external exam groupsFamiliarity with tools such as Chainalysis or TRM Labs is a plus
What’s in it for you

At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.

We offer a competitive benefits package that takes care of the whole you – both today and in the future:

401(k) with company match and Employee stock purchase planPaid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positionsPaid parental leave and family building benefitsTuition reimbursementHealth, dental, and vision insurance Apply Save job