Sr Specialist, Quantitative Software Engineer
Charles Schwab (company site, opens in a new tab)3+ yrsHyderabadOn-siteDirect career pageEst. 20–35 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead implementation of quantitative investment research products and develop financial data models to support wealth, advice, investment management, and research platforms.
- Build and maintain data processing pipelines and control frameworks for deploying quantitative models in production, ensuring scalability and performance.
- Co-develop production-level software with quant researchers, manage SDLC processes including CI/CD, and create tools for monitoring model performance and data visualization.
Minimum Requirements
- Degree in computer science, information systems, math, engineering, or related technical field, or equivalent experience.
- Minimum 3 years of experience with Python or Java, and proficiency with languages used in quantitative investment modeling (e.g., Python or R).
- Experience building data pipelines for large financial time series datasets and designing optimized quant-research data models.
- Familiarity with CI/CD tools like Jenkins, Docker, OpenShift, Kubernetes, and experience with distributed data processing frameworks.
Ideal Candidate Profile
- Experienced technologist with strong quantitative modeling and financial data engineering background, able to deliver production-grade code alongside research teams.
- Capable of operating within Agile Scrum frameworks and managing complex SDLC processes to ensure continuous integration and deployment.
- Detail-oriented with ability to prioritize tasks under tight deadlines and communicate effectively with business stakeholders, driving innovative and compliant data solutions.