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Build secure technology solutions that help protect Vanguard and our investors. As a Risk & Security Engineer intern in Vanguard’s College to Corporate (C2C) Internship Program, you’ll work at the intersection of software engineering and cybersecurity - helping to design and develop systems that are resilient, secure, and reliable. This immersive internship combines hands-on project work, mentorship, and structured development to help you grow your technical skills while developing leadership skills through collaboration, initiative, and contributing to solutions that protect Vanguard and our investors. In this internship you will: Support the development of secure applications and systems across Vanguard’s technology environment Contribute to implementing security controls and best practices within software and platforms Assist in identifying and addressing vulnerabilities in applications and infrastructure Build or enhance tools, scripts, or processes that improve security and automation Collaborate with engineering, security, and platform teams to deliver secure solutions Gain exposure to secure software development practices and cybersecurity concepts Work within Agile teams to contribute to design, development, and testing efforts Build connections with peers, mentors, and leaders across Vanguard Receive ongoing coaching and feedback to support your development What it takes: Pursuing a bachelor’s or master’s degree in Computer Science, Cybersecurity, Information Technology, or a related field Interest in software engineering with a focus on security and system protection Familiarity with programming concepts and a willingness to learn secure coding practices Strong problem-solving and analytical skills Curiosity about how systems can be designed to prevent and mitigate risk Strong communication and collaboration skills Ability to work both independently and as part of a team Cumulative GPA of 3.2 or higher preferred Additional Information: This program is a full-time, paid 10-week summer internship Vanguard is not offering sponsorship for this position The start date for this program will be May/June 2027 Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position. About Vanguard At Vanguard, we don't just have a mission—we're on a mission. To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best. How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

About Vanguard Founded in 1975, Vanguard is one of the world's leading investment management companies. The firm offers investments, advice, and retirement services to tens of millions of individual investors around the globe—directly, through workplace plans, and through financial intermediaries. Vanguard India Vanguard’s office in India is a significant milestone in our global expansion. We are committed to establishing an enduring technology center in Hyderabad, Telangana and are excited to be adding talent who will focus on Artificial Intelligence (AI), mobile, and cloud-based technologies that drive our business outcomes and deliver a world-class experience for our clients. Role Summary The Data Engineer, Specialist is responsible for building and maintaining scalable data pipelines to ensure seamless integration and efficient data flow across various platforms. This role involves designing, developing, and optimizing ETL (Extract, Transform, Load) processes, managing databases and leveraging big data technologies to support analytics and business intelligence initiatives. Responsibilites 1. Design, develop and maintain scalable ETL (Extract, Transform, Load) processes to efficiently extract data from various structured and unstructured sources, ensuring accuracy, consistency and performance optimization. 2. Architect and manage database systems to support large-scale data storage and retrieval, ensuring high availability, security and efficiency in handling complex datasets. 3. Integrate and transform data from multiple sources including APIs, on-premises databases and cloud storage, creating unified datasets to support data-driven decision-making across the organization. 4. Collaborate with business intelligence analysts, data scientists and other stakeholders to understand specific data needs, ensuring the delivery of high-quality, business-relevant datasets. 5. Monitor, troubleshoot and optimize data pipelines and workflows to resolve performance bottlenecks, improve processing efficiency and ensure data integrity. 6. Develop automation frameworks for data ingestion, transformation and reporting to streamline data operations and reduce manual effort. 7. Work with cloud-based data platforms and technologies such as AWS (Redshift, Glue, S3), Google Cloud (Big Query, Dataflow), or Azure (Synapse, Data Factory) to build scalable data solutions. 8. Optimize data storage, indexing, and query performance to support real-time analytics and reporting, ensuring cost-effective and high-performing data solutions. 9. Lead or contribute to special projects involving data architecture improvements, migration to modern data platforms, or advanced analytics initiatives. Qualifications and Skills Minimum 5 years of relevant work experience, with at least 2 years in designing and maintaining data pipelines, ETL processes and database architectures. Bachelor’s degree (B.E./B.Tech) in Computer Science or IT, or bachelor’s in data science, Statistics, or related field cloud Platforms AWS (S3, EMR, Glue, Lambda, Kinesis, Athena, Iceberg, Step Functions, SNS/SQS, IAM, CloudWatch Databricks: Delta Lake, Unity catalog volumes, Lakeflow connect, Dataframes, Apache Spark Database: Redshift, Aurora, Languages & Frameworks: Pyspark, Python/ Pandas/ NumPy/SQL Orchestration & Streaming: Airflow, Kafka, Lakeflow declarative pipelines Monitoring & DevOps: Docker / Terraform, GitHub Actions, Code Pipeline, spark UI, Git integration Product Build skills: Data design: Exposure to Medallion architecture, DWH and data mart build Should have functional domain exposure from Wealth and asset management / investments / Banking domain. AI Exposure: Claude Code / GitHub copilot Location This role is based in Hyderabad, Telangana at Vanguard India. Only qualified external applicants will be considered. Our mission Vanguard adheres to a simple purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success. Our commitment to you Vanguard takes the same long-term view of your success—at work and in life—with Benefits and Rewards packages that reflect what you care about, throughout all the phases and stages of your life. Our Total Rewards programs provide you and your loved ones with wellness support for key areas in your life: Financial wellness We're committed to enabling your financial success and provide competitive offers and programs. Physical wellness We're committed to providing benefits that support your physical health and wellness. Personal wellness We're committed to providing resources that help support the full scope of your life. How we work Vanguard has implemented a hybrid working model for most of our employees (crew members), designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

What You'll Do As a Data Scientist, Senior Specialist, you will lead complex analytics initiatives that influence strategic business decisions across the organization. You'll combine advanced statistical modeling, machine learning, and business acumen to uncover insights, solve challenging problems, and help shape the future of data-driven decision making. Key Responsibilities Lead the design, development, and delivery of large-scale analytics and data science projects, ensuring the quality, accuracy, and reliability of models, methodologies, and outputs. Apply advanced diagnostic, predictive, and prescriptive analytics to identify opportunities, solve business challenges, and drive measurable outcomes. Develop innovative modeling approaches and evaluate emerging techniques to enhance analytical capabilities and improve business performance. Partner with senior leaders and stakeholders to frame complex business questions, translate objectives into analytical strategies, and generate actionable recommendations. Assess data quality, identify gaps or inconsistencies, and establish sound assumptions to ensure insights are built on a strong foundation. Guide research design, experimentation, model validation, and statistical best practices across high-impact initiatives. Serve as a trusted analytics advisor on cross-functional teams and contribute to the advancement of the broader data science community. Communicate complex analytical findings in a clear, compelling manner through executive presentations, visualizations, and strategic recommendations. Mentor and develop junior data scientists and analysts, fostering a culture of continuous learning and innovation. Support additional strategic initiatives and special projects as needed. What We're Looking For 10+ years of experience in analytics, data science, statistics, machine learning, or a related quantitative field. Strong expertise in data preparation, transformation, and analysis of large, complex datasets. Hands-on experience applying statistical modeling, machine learning, and advanced analytical techniques to real-world business challenges. Proven ability to influence decision-making through insightful analysis and effective communication with senior stakeholders. Experience leading complex analytical projects and mentoring data science talent. Education Bachelor's degree in Analytics, Applied Mathematics, Statistics, Economics, Computer Science, Data Science, or a related quantitative discipline, or an equivalent combination of training and experience. Advanced degree (Master's or PhD) preferred. Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position. About Vanguard At Vanguard, we don't just have a mission—we're on a mission. To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best. How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

What You'll Do As a Data Scientist, Senior Specialist, you will lead complex analytics initiatives that influence strategic business decisions across the organization. You'll combine advanced statistical modeling, machine learning, and business acumen to uncover insights, solve challenging problems, and help shape the future of data-driven decision making. Key Responsibilities Lead the design, development, and delivery of large-scale analytics and data science projects, ensuring the quality, accuracy, and reliability of models, methodologies, and outputs. Apply advanced diagnostic, predictive, and prescriptive analytics to identify opportunities, solve business challenges, and drive measurable outcomes. Develop innovative modeling approaches and evaluate emerging techniques to enhance analytical capabilities and improve business performance. Partner with senior leaders and stakeholders to frame complex business questions, translate objectives into analytical strategies, and generate actionable recommendations. Assess data quality, identify gaps or inconsistencies, and establish sound assumptions to ensure insights are built on a strong foundation. Guide research design, experimentation, model validation, and statistical best practices across high-impact initiatives. Serve as a trusted analytics advisor on cross-functional teams and contribute to the advancement of the broader data science community. Communicate complex analytical findings in a clear, compelling manner through executive presentations, visualizations, and strategic recommendations. Mentor and develop junior data scientists and analysts, fostering a culture of continuous learning and innovation. Support additional strategic initiatives and special projects as needed. What We're Looking For 10+ years of experience in analytics, data science, statistics, machine learning, or a related quantitative field. Strong expertise in data preparation, transformation, and analysis of large, complex datasets. Hands-on experience applying statistical modeling, machine learning, and advanced analytical techniques to real-world business challenges. Proven ability to influence decision-making through insightful analysis and effective communication with senior stakeholders. Experience leading complex analytical projects and mentoring data science talent. Education Bachelor's degree in Analytics, Applied Mathematics, Statistics, Economics, Computer Science, Data Science, or a related quantitative discipline, or an equivalent combination of training and experience. Advanced degree (Master's or PhD) preferred. Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position. About Vanguard At Vanguard, we don't just have a mission—we're on a mission. To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best. How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

What You'll Do As a Data Scientist, Senior Specialist, you will lead complex analytics initiatives that influence strategic business decisions across the organization. You'll combine advanced statistical modeling, machine learning, and business acumen to uncover insights, solve challenging problems, and help shape the future of data-driven decision making. Key Responsibilities Lead the design, development, and delivery of large-scale analytics and data science projects, ensuring the quality, accuracy, and reliability of models, methodologies, and outputs. Apply advanced diagnostic, predictive, and prescriptive analytics to identify opportunities, solve business challenges, and drive measurable outcomes. Develop innovative modeling approaches and evaluate emerging techniques to enhance analytical capabilities and improve business performance. Partner with senior leaders and stakeholders to frame complex business questions, translate objectives into analytical strategies, and generate actionable recommendations. Assess data quality, identify gaps or inconsistencies, and establish sound assumptions to ensure insights are built on a strong foundation. Guide research design, experimentation, model validation, and statistical best practices across high-impact initiatives. Serve as a trusted analytics advisor on cross-functional teams and contribute to the advancement of the broader data science community. Communicate complex analytical findings in a clear, compelling manner through executive presentations, visualizations, and strategic recommendations. Mentor and develop junior data scientists and analysts, fostering a culture of continuous learning and innovation. Support additional strategic initiatives and special projects as needed. What We're Looking For 10+ years of experience in analytics, data science, statistics, machine learning, or a related quantitative field. Strong expertise in data preparation, transformation, and analysis of large, complex datasets. Hands-on experience applying statistical modeling, machine learning, and advanced analytical techniques to real-world business challenges. Proven ability to influence decision-making through insightful analysis and effective communication with senior stakeholders. Experience leading complex analytical projects and mentoring data science talent. Education Bachelor's degree in Analytics, Applied Mathematics, Statistics, Economics, Computer Science, Data Science, or a related quantitative discipline, or an equivalent combination of training and experience. Advanced degree (Master's or PhD) preferred. Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position. About Vanguard At Vanguard, we don't just have a mission—we're on a mission. To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best. How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Position Overview Join Vanguard Americas’ Digital Experience team and help build the technology that supports our B2B advisor businesses across Mexico, South America, and U.S. offshore markets. As a Senior Full Stack Developer, you’ll have the opportunity to play a foundational role in Vanguard’s growing technology presence in Mexico. You’ll design and deliver modern, cloud-native digital experiences, working across the full technology stack with Angular, Java, TypeScript, and AWS. This is a hands-on engineering role for someone who enjoys solving complex problems, owning solutions from design through production, and collaborating across product, UX, security, QA, and platform teams. You’ll help build scalable, secure, high-performing applications while influencing architecture and engineering practices along the way. Core Responsibilities Own features end to end, translating business and technical requirements into well-designed, scalable solutions and leading them from architecture and development through deployment and production support. Design, develop, test, and maintain full-stack applications using Angular, Java, TypeScript, and AWS, including integrations with third-party services and APIs. Build modern API-driven solutions using GraphQL and RESTful APIs, with an emphasis on modular, maintainable architecture. Create responsive and accessible user experiences aligned with enterprise design systems, web standards, and reusable component patterns. Develop and enhance CI/CD pipelines and automated build, test, and deployment processes using modern DevOps and containerization practices, including Docker. Partner closely with product, UX, QA, security, infrastructure, and platform teams to deliver reliable, high-quality digital experiences. Apply sound engineering judgment to architecture, design patterns, security, performance, and application scalability. Participate in design reviews, code reviews, and testing, troubleshoot complex technical issues, and mentor less-experienced developers. Support applications in production and contribute to incident, change, and release management. Explore emerging AI-assisted engineering patterns and tools, including agentic AI and MCP-based workflows, to improve development, testing, and documentation while maintaining strong engineering judgment and governance. Ensure solutions meet Vanguard’s technology, quality, security, and information security standards. Qualifications 6+ years of relevant software development experience, including advanced or senior-level full-stack development experience. Undergraduate degree or an equivalent combination of education, training, and experience. Strong hands-on development experience with Angular, Java, and TypeScript. Proven experience building and deploying applications on AWS. Experience designing, building, and consuming GraphQL and RESTful APIs. Experience with CI/CD, build and deployment automation, and containerization technologies such as Docker. Strong understanding of secure web development, including authentication and authorization. Experience working with or contributing to enterprise design systems. Solid knowledge of web standards, accessibility, and responsive design. Exposure to AI development standards, frameworks, models, or libraries such as LangGraph, Model Context Protocol (MCP), or OpenAI technologies. Strong written and verbal communication skills in English are required, with the ability to collaborate effectively across global, cross-functional, and matrixed teams. How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

About Vanguard Founded in 1975, Vanguard is one of the world's leading investment management companies. The firm offers investments, advice, and retirement services to tens of millions of individual investors around the globe—directly, through workplace plans, and through financial intermediaries. Vanguard India Vanguard’s office in India is a significant milestone in our global expansion. We are committed to establishing an enduring technology center in Hyderabad, Telangana and are excited to be adding talent who will focus on Artificial Intelligence (AI), mobile, and cloud-based technologies that drive our business outcomes and deliver a world-class experience for our clients. Job Summary We are seeking a talented Full Stack Engineer with 3-5 years of experience in designing, developing, and maintaining scalable web applications. The ideal candidate should possess strong expertise in frontend and backend development, API integration, cloud-native technologies, DevOps practices, and modern software engineering principles. The role requires close collaboration with business stakeholders, product teams, architects, and engineering teams to deliver high-quality solutions. Key Responsibilities and Qualifications Minimum 3-5 years of experience in application development, system analysis, and/or database management. Bachelor’s degree (B.E./B.Tech) in Computer Science or IT, or bachelor’s in computer applications (BCA). Design, develop, test, and maintain full stack applications using modern technologies and frameworks. Analyse business requirements and translate them into technical solutions. Develop scalable frontend applications with responsive user interfaces. Build robust backend services, APIs, and integrations. Design and implement database schemas, queries, and performance optimizations. Participate in Agile ceremonies including sprint planning, stand-ups, reviews, and retrospectives. Implement CI/CD pipelines and support deployment automation. Develop automated tests to ensure application quality and reliability. Monitor application performance and support observability initiatives. Apply secure coding practices and adhere to enterprise security standards. Collaborate with architects and senior engineers on system design decisions. Troubleshoot production issues and provide timely resolution. Required Skills Core Engineering Frontend Development (Angular (Preferred/Current Stack) or React) Backend Development (Java and/or Node.js) API Design & Integration Software Design Principles Object-Oriented Programming Design Patterns Cloud & DevOps Cloud Platforms (AWS Services) CI/CD Pipelines Containerization (Docker/Kubernetes preferred) Infrastructure Fundamentals Data & Integration Relational and NoSQL Databases Data Modeling RESTful APIs or GraphQL Event-Driven Architectures Quality & Security Automated Testing Security Best Practices Application Monitoring Logging & Observability Ways of Working Agile/Scrum Methodology Requirement Analysis Problem Solving Collaboration and Communication Candidates with experience in any of the below will stand out: GraphQL Front-end observability Personalization engines Design token automation Agentic AI patterns (Ability to work in platform teams supporting multiple journeys and AI-assisted development (GitHub co-pilot, Claude and cursor)) Analytics-driven experimentation A/B testing Confluent Kafka / Event-driven architectures Strong AI engineering exposure Location This role is based in Hyderabad, Telangana at Vanguard India. Only qualified external applicants will be considered. Our mission Vanguard adheres to a simple purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success. Our commitment to you Vanguard takes the same long-term view of your success—at work and in life—with Benefits and Rewards packages that reflect what you care about, throughout all the phases and stages of your life. Our Total Rewards programs provide you and your loved ones with wellness support for key areas in your life: Financial wellness We're committed to enabling your financial success and provide competitive offers and programs. Physical wellness We're committed to providing benefits that support your physical health and wellness. Personal wellness We're committed to providing resources that help support the full scope of your life. How we work Vanguard has implemented a hybrid working model for most of our employees (crew members), designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.