Senior Manager, Quantitative Developer

Your Opportunity

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 mission of Corporate Risk Management is to provide an integrated risk management strategy that supports delivery of predictable financial and operational performance to produce successful client and shareholder outcomes. Corporate Risk Management provides a second line of defense for Schwab by providing independent assessments of the firm’s risk by using models, controls and systems to measure financial, operational, compliance, and legal risks to Schwab’s business, employees, and customers.

In this role, your primary responsibility on the Margin Risk Analytics team will be data science projects concerning Schwab’s margin and trading data. You will evaluate client and market data to detect risk patterns using modeling and analysis techniques, and then convert that knowledge into functional models that will dictate and challenge how that risk is managed. From there, you will be responsible for model documentation, developmental evidence, and performance monitoring of our production models.

As a Senior Manager individual contributor, you will:

• 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 real-world business 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 verification
• 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

This is an Individual Contributor role.

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:

• Bachelor’s degree in Computer Science, Economics, Mathematics, Statistics, Mathematical Finance, Engineering or another field teaching computer programming techniques as well as high level math and analytics.
• 3-5 years of experience working as a quantitative analyst/developer
• Strong SQL experience and the ability to develop, tune and debug complex SQL code
• 3 years parsing, analyzing, and statistical modeling for large data sets with tools like SQL, scripting, and visualization tools
• 3 years building machine learning and artificial intelligence applications using frameworks like PyTorch, TensorFlow, or similar
• Advanced skills using data analytics tools and statistical and modeling packages (Python/ R)
• Understand Options pricing model and/or derivatives

Preferred Qualifications:

• Master’s degree
• Affinity to market, familiar with different financial products (futures, options, commodities, etc.)
• Familiar with brokerage business and margin trading
• Experience in option and equity trading models and brokerage margin policies, particularly Black Scholes, Binomial Option Models, Value At Risk techniques, Futures SPAN margin, Monte Carlo methods, Regression
• Experience building and delivering reports via BI tools like Tableau, Alteryx
• Experience in big data platform
• Strong task management skills with the ability to effectively manage several deliverables at once and be able to identify and implement process improvements
• Excellent oral and written communication skills are essential, including a demonstrated ability to generate high quality model and procedural documentation
• Web programming and JavaScript