Sr Specialist - Data Engineering
Your Opportunity
Your opportunity
At Charles Schwab, our purpose is simple: we champion client’s goals with passion and integrity. Guided by honesty, mutual respect and a commitment to doing what’s right, we bring innovation, education, and service together to help shape financial futures. Our people are the foundation of our success – they approach their work with curiosity and collaboration, coming together to create solutions that make a meaningful impact for clients and communities. As we expand into India, we are bringing this same culture of inclusion, learning, and opportunity to new talent. Joining us means becoming part of a global team where your work matters and your future can take shape.
Our Hyderabad location is central to Schwab’s growth, bringing together talented people and technology to drive innovation, scale and efficiency. Here, you will work alongside teams who create solutions that support millions of clients every day. The work you do is more than daily operations – it’s a chance to experiment, learn, and build within a values-driven, supportive environment. This is a unique opportunity to be part of our early growth phase and shape something new, backed by the stability and strength of a Fortune 500 company. Your impact begins on day one, and your contributions will help define our future in the region.
What you have
Key Responsibilities:
Apply knowledge and take a lead role in implementing quantitative investment research products within the designated business area to support organizational goals and objectives, including gathering and collecting time series financial data, and developing quantitative models, analytics, and tests
Develop control frameworks required to deploy and manage quant models in production environments.
Lead data engineering implementation efforts for data processing pipelines that curate financial datasets into representations fit for model research and production applications.
Co-develop production code in conjunction with quant researchers to deliver performant software (supported by comprehensive test coverage) that meet investment objectives while minimizing the risk of model errors; manage SDLC processes to enable CI/CD.
Build data visualizations and other tooling to enable model researchers to efficiently monitor model performance and stability, as well as to interpret model outputs.
Required Qualifications:
Degree in computer science, information systems, math, engineering, or other technical field, or equivalent experience
Three plus years of experience with Python or Java
Proficiency in one or more programming languages used for quantitative investment model development and analysis (e.g Python or R)
Experience building data pipelines and related processes with large financial research timeseries datasets
Proficiency in designing quant-research optimized data models that support efficient data retrieval and aggregation of financial datasets, including complex hierarchical structures
Familiarity in developing distributed data processing and streaming frameworks and architectures
Experience leveraging continuous integration/development tools (e.g. Jenkins, Docker, Containers, OpenShift, Kubernetes, and container automation) in a CI/CD pipeline
Refines data analysis approaches to support informed business decision-making
Enhances processes to ensure legal and ethical data compliance
Innovates solutions to enhance data visualization clarity and utility
Develops continuous monitoring mechanisms to ensure compliance and optimize performance of quantitative models in production
Utilizes statistical techniques and hypothesis testing to analyze large datasets to support decision-making
Leverages expertise in quantitative systems architecture to enhance the business impact of software solutions
Optimizes software development testing and verification to enhance component reliability and address operational problems
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
Key Responsibilities:
Apply knowledge and take a lead role in implementing quantitative investment research products within the designated business area to support organizational goals and objectives, including gathering and collecting time series financial data, and developing quantitative models, analytics, and tests
Develop control frameworks required to deploy and manage quant models in production environments.
Lead data engineering implementation efforts for data processing pipelines that curate financial datasets into representations fit for model research and production applications.
Co-develop production code in conjunction with quant researchers to deliver performant software (supported by comprehensive test coverage) that meet investment objectives while minimizing the risk of model errors; manage SDLC processes to enable CI/CD.
Build data visualizations and other tooling to enable model researchers to efficiently monitor model performance and stability, as well as to interpret model outputs.
Required Qualifications:
Degree in computer science, information systems, math, engineering, or other technical field, or equivalent experience
Three plus years of experience with Python or Java
Proficiency in one or more programming languages used for quantitative investment model development and analysis (e.g Python or R)
Experience building data pipelines and related processes with large financial research timeseries datasets
Proficiency in designing quant-research optimized data models that support efficient data retrieval and aggregation of financial datasets, including complex hierarchical structures
Familiarity in developing distributed data processing and streaming frameworks and architectures
Experience leveraging continuous integration/development tools (e.g. Jenkins, Docker, Containers, OpenShift, Kubernetes, and container automation) in a CI/CD pipeline
Refines data analysis approaches to support informed business decision-making
Enhances processes to ensure legal and ethical data compliance
Innovates solutions to enhance data visualization clarity and utility
Develops continuous monitoring mechanisms to ensure compliance and optimize performance of quantitative models in production
Utilizes statistical techniques and hypothesis testing to analyze large datasets to support decision-making
Leverages expertise in quantitative systems architecture to enhance the business impact of software solutions
Optimizes software development testing and verification to enhance component reliability and address operational problems
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.