
Investment services and wealth management firm
Senior Manager, Model Risk Oversight - Artificial Intelligence, Investments & Digital Finance at Charles Schwab
About the role
Pay range:
USD $125,000.00 - $185,000.00 / Year
Your opportunity
At Schwab, you're empowered to make an impact. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together.
The Model Risk Oversight (MRO) organization at Charles Schwab is seeking a highly accomplished quantitative leader to join the firm as a Senior Manager responsible for independent oversight of advanced artificial intelligence (AI) and financial models supporting Schwab's investment, advisory, and digital assets initiatives. This role focuses on validation of models spanning machine learning (ML), generative AI, and emerging agentic AI systems, as well as traditional financial models used in portfolio construction, trading analytics, and advisory recommendation engines. The position could also validate models related to digital assets, private equity markets, and alternative investment strategies.
Key Responsibilities:
- Lead independent validation of quantitative, machine learning, and generative AI models used across investment and advisory platforms.
- Evaluate model design, assumptions, theoretical soundness, data inputs, and empirical performance.
- Assess risks related to data quality, feature engineering, model drift, explainability, and AI model limitations.
- Validate models supporting portfolio construction, trading analytics, advisory recommendations, digital assets, and private equity markets.
- Prepare detailed validation reports and present findings to senior management and regulatory stakeholders.
What you have
Qualifications:
- Master's degree required; PhD preferred in Mathematics, Statistics, Computer Science, Engineering, Finance, or a related quantitative discipline.
- 8+ years of experience in model validation, model development, quantitative finance, or AI/ML modeling.
- Strong experience with machine learning, generative AI, or large language model architecture.
- Deep understanding of SR 26-2 model validation standards.
- Proficiency in Python, R, SQL, or similar analytical tools.
- Strong communication skills and ability to explain complex technical findings.
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 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
Required skills
Model risk management
Model validation
Machine learning
Generative AI
Quantitative analysis
Risk assessment
Data quality analysis
Regulatory communication
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About Charles Schwab

Charles Schwab
PublicCharles Schwab Corporation is a major American multinational financial services company that provides brokerage, banking, and financial advisory services to individual and institutional clients.
10,001+
Employees
Westlake
Headquarters
$134B
Valuation
Reviews
10 reviews
4.2
10 reviews
Work-life balance
3.8
Compensation
4.2
Culture
4.5
Career
3.2
Management
4.0
75%
Recommend to a friend
Pros
Supportive and approachable management
Great work-life balance and flexibility
Excellent benefits and competitive pay
Cons
High pressure and demanding workload
Limited career advancement opportunities
Fast-paced environment causing stress
Salary Ranges
30 data points
Junior/L3
L2
L6
M3
M4
M5
M6
Mid/L4
Senior/L5
L3
L4
L5
Junior/L3 · Data Scientist I
0 reports
$105,400
total per year
Base
-
Stock
-
Bonus
-
$89,590
$121,210
Interview experience
7 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer rate
28%
Experience
Positive 14%
Neutral 58%
Negative 28%
Interview process
1
Phone Screen
2
Interview
3
Background Check
Common questions
Phone Interview
Recruiter Screening
Technical Assessment
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