Senior Manager, Risk Analytics/Monitoring

Charles Schwab•Southlake, TX

4d•Hybrid

About The Position

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.

Requirements

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 bank, brokerage, or financial services
Advanced programming experience utilizing Python and SQL
Advanced ability to evaluate large quantities of data, summarize key findings, recommend a course of action, and present effectively to leadership and key stakeholders
Experience developing risk-based decision strategies and leveraging decision engines
Experience creating dashboards and visualizations
Highly effective communicator who can explain complicated subject matter to all stakeholders, including those less technically oriented
Technical understanding of agile methodology and SDLC process
Positive demeanor, passion, professionalism, and strong work ethic with high level of integrity and ethics
Superb attention to detail
Proficiency with Excel, PowerPoint, and other Microsoft Office products
Bachelor's degree in Statistics, Mathematics, Economics, Business Analytics, Finance, or related quantitative field

Nice To Haves

ACAMS or ACFCS Certification
Knowledge of evolving crypto regulations and enforcement typologies
Cryptocurrency Certifications, such as ACAMS CCAS or CFCS C2SD
Experience using SAS
Experience with internal and external exam groups
Familiarity with tools such as Chainalysis or TRM Labs is a plus

Responsibilities

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