Data Science Software Engineer

The Model Risk Oversight (MRO) team within Corporate Risk Management is responsible for identifying and managing model risk at the company. The MRO Research and Development Team develop software technologies that revolutionize model risk management.

We are looking for a data science software engineer to join a highly engaged, driven, and innovative team at Schwab. We are currently building our validation automation framework which will bring incredible scalability and efficiency to model validations at Schwab. The role requires 70% of coding, testing, and documenting, and 30% of analysis, design, and presentations to key stakeholders. 

This individual contributor Data Science Software Engineer will:

• Develop solutions using open-source Python libraries and vendor AI/ML platforms, implement feature engineering, data transformation, functions to test various characteristics such as fairness, bias, explainability, interpretability, and data drift.
• Develop pipelines, models, and modules by integrating various Python libraries and platforms to create a reliable, dependable, and maintainable framework for AI/ML.
• Develop model serving and model hosting solution and integrate with the Python infrastructure to enable model serialization, model execution, model performance monitoring, and sensitivity testing for the hosted models.
• Design software solutions according to the established acceptance criteria and programming standards. Develop code to implement solutions in a manner that is straightforward, clear, and consistent with existing software modules and in compliance with the established Systems Development Life Cycle (SDLC).
• Determine and address root causes of production issues in timely manner. Lead infrastructure related projects with Schwab IT departments, such as identifying and adding new Python libraries to Schwab approved Anaconda repositories.
• Contribute positively to team culture by performing work in a professional manner and making decisions that improve user satisfaction.
• The above list of responsibilities is not all inclusive and other duties may be assigned from time to time.

Required Qualifications:

• Bachelors degree in Statistics, Computer/Data Science or related fields
• 2+ year experience in data science or machine learning
• 2+ year experience using Python, in particular Scikit-Learn, Statsmodels, Optuna, TensorFlow, NumPy, Pandas and Matplotlib etc.
• Solid understanding of predictive modeling, statistical modeling, time series modeling, feature engineering, model tuning concepts such as hyperparameter optimization, etc.

Preferred Qualifications:

• Advanced degree in Statistics, Computer/Data Science or related field
• Strong communication and presentation skills
• Experience with Angular, Agile and C#
• Experience with Gen AI and Cloud Technologies
• Experience with Atlassian software (Bitbucket, Jira, Bamboo)

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

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