Job Locations US-CO-Lone Tree | US-TX-Westlake | US-NE-Omaha | US-FL-Orlando

Requisition ID

2025-113922

Posted Date

21 hours ago(9/29/2025 2:52 PM)

Category

Risk & Regulatory

Salary Range

USD $120,000.00 - $175,000.00 / Year

Application deadline

10/1/2025

Position Type

Full time

At Schwab, you are 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 Behavioral AI/ML Analytics (BAMA) team is looking for a dynamic, self-motivated data scientist at the Senior Manager level. The BAMA team leverages predictive modeling and data science expertise to deliver new tools and capabilities that enhance Schwab’s ability to fight financial crime. BAMA supports fraud prevention and anti-money laundering programs within Financial Risk Management (FRM) by building and maintaining predictive models and developing other advanced analytics solutions that solve problems and provide meaningful business value. There’s no shortage of problems to solve, which allows BAMA numerous opportunities to make an impact.

As a Senior Manager, Data Scientist you will play a key role in helping to identify and understand FRM business needs, establishing yourself as a strategic, long-term partner and not just a modeling service. You’ll work collaboratively with internal and external partners to develop modeling solutions supporting high value initiatives. The data scientist in the short term will be developing models within the fraud space but the focus of their work will change over time to include both transaction channel specific and behavioral modeling. The Sr. Manager, Data Scientist has a solid quantitative background, strong business acumen, an eagerness to learn and teach in a team setting, and a passion for solving meaningful problems. The individual should be tech-savvy and familiar with the best practices related to the development of advanced quantitative models.

This is an individual contributor role.

Required Qualifications:

• M.S. in a quantitative field.
• 5+ years of experience in analytics, data science or related role.
• Advanced proficiency in SQL and Python.

Preferred Qualifications:

• Demonstrated ability to independently and collaboratively complete end-to-end data science projects solving real-world business problems.
• A proactive approach in identifying where data science solutions can provide value.
• Experience in data science and machine learning.
• Solid communication skills with ability to translate mathematical and statistical concepts into easily understood language.
• Curiosity and enthusiasm to learn new tools and techniques.
• Proficiency in applied AI and Machine Learning.
• Familiarity with GCP.

What will set you apart:

• Experience in data science and machine learning in fraud risk, payments or financial services domain.

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Why work for us?

At Schwab, we’re committed to empowering our employees’ personal and professional success. Our purpose-driven, supportive culture, and focus on your development means you’ll get the tools you need to make a positive difference in the finance industry.

We offer a competitive benefits package to our full-time employees that takes care of the whole you – both today and in the future:

• 401(k) with company match and Employee stock purchase plan
• Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
• Paid parental leave and family building benefits
• Tuition reimbursement
• Health, dental, and vision insurance