Sr Specialist, Quantitative Software Engineer

Charles Schwab; Hyderabad; On-site; INR 1,500,000 - 2,300,000; Full time

Benefits offered by this job

EPF & Gratuity

Health insurance

Paid time off

Health check-ups

Job summary

Charles Schwab India in Hyderabad is seeking a Quantitative Software Engineer to join a hands-on technologist team focused on solving challenging business problems with quantitative research and investment initiatives. You will develop models, analytics, and reporting products that scale and empower clients to shape their financial futures.

You’ll collaborate with product, business, and technology partners in a values-driven environment at a Fortune 500 company, with opportunities to own

Qualifications

• Degree in computer science, information systems, math, engineering, or related technical field.
• 3+ years of experience with Python or Java.
• Proficiency in Python or R for quantitative model development and analysis.
• Experience building data pipelines with large financial time series datasets.
• Proficiency designing data models to support retrieval and aggregation of financial datasets.
• Familiarity with distributed data processing and streaming frameworks and architectures.
• Experience using CI/CD tools (e.g., Jenkins, Docker, OpenShift, Kubernetes).
• Refines data analysis approaches to support informed business decisions.
• Enhances processes to ensure legal and ethical data compliance.
• Innovates data visualization clarity and utility.
• Develops monitoring mechanisms for production models and performance.
• Uses statistical techniques to analyze large datasets for decision-making.
• Applies quantitative systems architecture to improve software impact.
• Improves testing and verification for reliability.

Responsibilities

• Apply knowledge and lead implementation of quantitative investment research products.
• Develop control frameworks to deploy and manage quant models in production.
• Lead data engineering for pipelines that curate financial datasets for models.
• Co-develop production code with quant researchers to deliver performant software with tests.
• Build data visualizations and tooling to monitor model performance and stability.

Skills

Python/Java

Quantitative modeling

Data analysis

CI/CD familiarity

Education

Bachelor's degree in CS/Engineering/Math

Tools

Jenkins

Docker

Kubernetes

OpenShift

Job description

Your opportunity

At Charles Schwab, our purpose is simple: we champion clients' 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

We are looking for a Quantitative Software Engineer who is passionate about solving challenging business problems to provide technical expertise to the STS (Schwab Technology Services) team, focusing on Schwab's wealth, advice, investment management, and research platforms. This is an opportunity to work as a hands-on technologist focused on a variety of innovative quantitative research and investment initiatives, creating reliable, scalable, and advanced solutions to help our clients take ownership of their financial futures. You’ll support investment models, analytics, and reporting products while collaborating with product, business, and technology partners. If you're looking to bring your expertise to a firm that will provide consistent challenges, promoting development and ownership of your career, this is the role for you.

• 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 Qualification

• 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

Preffered Qualification

• Attention to detail and results oriented, with a strong customer focus
• Ability to prioritize workload to meet tight deadlines
• Consistently maintains clear, open communication to enhance collaboration with others, including senior business stakeholders
• Curious and persistent in identifying innovative, effective solutions to business challenges
• Leverages industry expertise to guide strategy and guide team members in industry and marketplace dynamics
• * Experience operating within the Agile Scrum framework to deliver business value consistently

What’s in it for you

At Schwab India, you're empowered to shape your future. We support your growth through meaningful work, continuous learning, and a culture rooted in trust and collaboration - so you can build the skills to make a lasting impact. Our benefits are designed to care for your wellbeing, your family, and your long-term financial security.

Our base benefits, wellbeing, and total rewards include:

• Competitive compensation and retirement programs including Employee Provident Fund (EPF), Gratuity, and optional National Pension System (NPS) contributions
• Robust Paid Time Off, including annual/privilege leave, sick and casual leave, public holidays, maternity/paternity leave, and more
• Comprehensive medical insurance with Outpatient Department (OPD) services, including vaccination, pharmacy, dental, and vision coverage
• Annual reimbursement for health check-ups and mental health support through our Employee Assistance Program (EAP)
• Childcare (creche) reimbursement for eligible employees
• Transportation and meal benefits that support your day-to-day work
• Group life, personal accident, and critical illness insurance