Senior Manager - Python Developer

Charles Schwab; Hyderabad; On-site; INR 1,500,000 - 2,200,000; Full time

Benefits offered by this job

EPF and gratuity

Medical insurance

Paid time off

Annual health check-ups

Transport and meal benefits

Job summary

Charles Schwab Hyderabad is building a cutting-edge quantitative research platform. You will design and implement software that enables research, build data pipelines from time-series data, and deploy production systems with strong test coverage.

You will lead data architecture and collaborate with researchers to deliver scalable analytics tools. The role emphasizes distributed data processing, machine learning, and CI/CD in a regulated environment, with opportunities to apply Generative AI to

Qualifications

• Seven plus years of experience with Python or Java in complex operating environments.
• Proficiency in Python or R for quantitative investment model development and analysis.
• Experience designing, building, and supporting data pipelines with large time series datasets.
• Proficiency in data models that support efficient retrieval and aggregation of financial data.
• Familiarity with distributed data processing and streaming frameworks.
• Experience using CI/CD tools (Jenkins, Docker, OpenShift, Kubernetes) in production.
• Experience in regulated environments with data standards compliance.
• Familiarity with statistical techniques and hypothesis testing on large datasets.
• Expertise in quantitative systems architecture to enhance business impact.
• Experience in testing and verification to improve component reliability.
• Understanding of investment management concepts and domain expertise.
• Experience leveraging Generative AI to boost productivity and avoid pitfalls.

Responsibilities

• Design, implement and maintain software solutions enabling quantitative research.
• Lead implementation of quantitative investment research products and data systems.
• Develop production code with tests; manage SDLC to enable CI/CD.
• Build data pipelines that curate financial datasets for models and production.
• Validate model outputs, document hypotheses, and support back-testing and stress-testing.
• Develop analytics pipelines using machine learning and statistical frameworks.
• Create visualizations and tooling to monitor model performance and stability.
• Assist in selecting data tools and technologies to expand platform capabilities.
• Lead or participate in proofs-of-concept for new methodologies and technologies.
• Analyze business problems, refine requirements, and collaborate with tech and business partners.

Skills

Python

Java

R

Data pipelines

Distributed processing

Generative AI awareness

Tools

Jenkins

Docker

Kubernetes

OpenShift

Job description

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 commitmentto 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:

Design, implement and maintain software solutions that enable quantitative research

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

Apply knowledge and take a lead role in implementing quantitative systems architecture within the designated business area to support organizational goals and objectives, including designing and maintaining financial research data systems that leverage distributed/cloud computing, data analytics, and machine learning.

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.

Validate model outputs and defines controls; document model hypotheses including goals, back‑testing, and stress‑testing strategies; support model optimization analysis.

Design, develop, test, and deploy systematic analytics pipelines using machine learning / statistical analysis frameworks.

Build data visualizations and other tooling to enable model researchers to efficiently monitor model performance and stability, as well as to interpret model outputs.

Assist in selection and integration of data related tools, frameworks, and applications required to expand platform capabilities.

Lead or participate in developing proof‑of‑concepts to understand the appropriateness of new methodologies and/or technologies for our platforms.

Analyze business problems and processes; help refine requirements and design solutions for them.
Be a champion of new ways of collaborating with technology and business partners

Influence and implement improvements and efficiencies in both the technical and non‑technical aspects of the development process.

Required Qualifications:

Seven plus years of experience with Python or Java in complex operating environments

Proficiency in one or more programming languages used for quantitative investment model development and analysis (e.g Python or R)

Experience designing, building, and supporting data pipelines and related processes with large financial research timeseries datasets, including implementing robust exception‑handling, observability, and quality control capabilities

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

Experience operating in a regulated environment with a focus on delivering systems that are compliantwith legal and ethical data standards

Familiarity with incorporating statistical techniques and hypothesis testing into the analysis of large datasets to support decision-making

Expertise in quantitative systems architecture to enhance the business impact of software solutions

Experience implementing software development testing and verification capabilities to enhance component reliability and address operational risks

Understanding of investment management principles and concepts; strong interest in becoming a domain expert

Practical experience in leveraging Generative AI capabilities to enhance productivity and efficiency, with sufficient experience to understand the pitfalls of blindly relying on such technologies

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