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Sr Manager, Risk Analytics/Modeling

Location Chicago, Illinois, United States Requisition ID 2026-124178 Category Risk & Regulatory Position Type Regular
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Your Opportunity

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.

Job Duties: Develop and maintain quantitative risk tools using various IT solutions including C#, Python, SQL, Continuous Integration software. Complete end-to-end data science projects solving trading and financial crimes problems. Read, analyze, and interpret government and industry standards for Margin Loan portfolios and convert them to functional models. Provide model documentation for internal and external governance, validation, and oversight. Study, analyze and utilize large data sets. Contribute to an Agile software team to deliver results iteratively. Present approaches to internal management as well as auditors and consultants. Coordinate between Corporate Risk organization, technology, and business partners to achieve desired objectives.

What you have


Job Requirements: Requires Bachelor’s in Finance, Mathematical Finance, or a related field and 60 months of progressive, post-Bachelor’s experience in a related occupation. . Experience must include 60 months of experience involving the following: SQL including develop, debug complex SQL queries; C# with developing and maintaining programs and applications; Python programming for data processing and workflow development; Financial modeling with options pricing using Black-Scholes or other models; Building statistical or machine learning models using frameworks in Python; Data cleaning, missing data imputation, statistical transformations for time-series data, and data validation workflows; Perform risk analysis using Value-at-Risk or other simulation techniques; and Data visualization tools to create dashboards, including Python dashboards. 

We offer competitive pay and benefits. Starting compensation depends on related experience. Annual bonus and other eligible earnings are not included in the ranges above. Benefits include: 401(k) w/ company match; employee stock purchase plan; paid vacation, volunteering, 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; hybrid/remote work schedule available for eligible positions (subject to Schwab’s internal approach to workplace flexibility).


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

What you are good at

What you have

Job Requirements: Requires Bachelor’s in Finance, Mathematical Finance, or a related field and 60 months of progressive, post-Bachelor’s experience in a related occupation. . Experience must include 60 months of experience involving the following: SQL including develop, debug complex SQL queries; C# with developing and maintaining programs and applications; Python programming for data processing and workflow development; Financial modeling with options pricing using Black-Scholes or other models; Building statistical or machine learning models using frameworks in Python; Data cleaning, missing data imputation, statistical transformations for time-series data, and data validation workflows; Perform risk analysis using Value-at-Risk or other simulation techniques; and Data visualization tools to create dashboards, including Python dashboards. 

 

We offer competitive pay and benefits. Starting compensation depends on related experience. Annual bonus and other eligible earnings are not included in the ranges above. Benefits include: 401(k) w/ company match; employee stock purchase plan; paid vacation, volunteering, 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; hybrid/remote work schedule available for eligible positions (subject to Schwab’s internal approach to workplace flexibility).

Why Schwab?

At Schwab, “Own Your Tomorrow” embodies everything we do! We are committed to helping our employees unleash their potential and achieve their dreams. Our employees get to play a central role in disrupting a multi-trillion-dollar industry, creating a better, more modern way to build and manage wealth. We’re a modern financial services firm that stands apart from the industry, where you can go as far as your ambition takes you.

Hear from employees: What’s it like to work at Schwab!

The benefits of working at Schwab : a package designed to empower your health, wealth, career and life. Schwab is committed to building a diverse and inclusive workplace where everyone feels valued.

As an equal employment opportunity employer, our policy is to provide equal employment opportunities to all employees and applicants without regard to any status that is protected by law. (Please click here to see policy.)

Schwab is also an affirmative action employer, focused on advancing women, minorities, veterans, and individuals with disabilities in the workplace. We believe diversity and inclusion are part of our success as a company and our purpose of serving every client with passion and integrity.

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