Manager, Risk Analytics/Modeling

Your Opportunity

Schwab remains committed to providing increased visibility to career growth opportunities and job requirements. This posting announcement is part of increased transparency and while all qualified applicants will be reviewed and considered, this organization has a preferred candidate identified for this role.

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.

We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

At Schwab, we are committed to protecting our clients and firm assets while delivering a strong client experience. The Banking Ops Fraud Modeling team develops and enhances fraud risk strategies and models across money movement products, including wires, ACH, new accounts, Visa transactions, bill pay, and journals. This team uses data, internal tools, and vendor solutions to identify emerging threats, strengthen fraud detection, and partner across the organization to monitor and improve fraud prevention effectiveness.

What you'll do:

In this individual contributor role, you will help protect Schwab clients and firm assets by developing, testing, and enhancing fraud detection strategies for real-time wire transactions. You will analyze fraud trends, identify emerging risks, and tune existing strategies to help balance fraud prevention with a strong client experience.

You will use SQL, business intelligence tools, and large data sets to evaluate transaction activity, uncover fraud patterns, and support real-time rules-based decisioning. You will also create reporting and performance insights to share strategy effectiveness, key trends, and recommendations with business partners and stakeholders.

What you have

To ensure that we fulfill our promise of "challenging the status quo," this role has specific qualifications that successful candidates should have.

Required Qualifications:

• 2+ years identifying, analyzing, testing, and implementing new fraud strategies to address emerging fraud trends 
• 2+ years of SQL programming experience in one or more applications (e.g. SQL Server, Oracle, Teradata, Big Query, Postgres, etc.)
• 2+ years data integration with Python/SAS
• Ability to assess risk and impact of current strategies on fraud mitigation in conjunction with client experience
• Good understanding of basic Exploratory Data Analysis (EDA)
• Basic understanding of KYC practices, fraud loss types, and transaction flows
• Strong data visualization and data wrangling skills
• Ability to work as part of a team and independently
• Strong verbal and written communication skills
• Ability to produce high-quality work with minimal errors in a demanding environment 

Preferred Qualifications: 

• B.S./B.A. and/or MS/MBA in Finance, Economics, Computer Science, InfoTech or related field.
• 5+ years of direct experience will be considered in lieu of a college degree
• 2+ years authoring rules in a transaction decision engine
• 2+ years of analytical experience in the areas of financial crimes, fraud, and financial transactions
• 2+ years financial services/banking operations experience
• Experience in various tools  such as SAS, Tableau, Python, R, and any other analytics software is a plus
• Working knowledge with fraud issues preferred

In addition to the salary range, this role is also eligible for bonus or incentive opportunities