
1001 - 5000 employees
💼 Consulting
🛡️ Insurance
💸 Finance
Consulting • Insurance • Finance
Dimensional Fund Advisors is a leading global investment firm that has been translating academic research into practical investment solutions since 1981. The firm is dedicated to helping investors pursue higher expected returns through a systematic investment process that combines research insights with advanced portfolio design, management, and trading. Headquartered in Austin, Texas, it operates 15 global offices across North America, Europe, and Asia, managing $739 billion for investors worldwide as of June 30, 2024. Dimensional is an investment advisor registered with the Securities and Exchange Commission.
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1001 - 5000 employees
💼 Consulting
🛡️ Insurance
💸 Finance
Consulting • Insurance • Finance
Dimensional Fund Advisors is a leading global investment firm that has been translating academic research into practical investment solutions since 1981. The firm is dedicated to helping investors pursue higher expected returns through a systematic investment process that combines research insights with advanced portfolio design, management, and trading. Headquartered in Austin, Texas, it operates 15 global offices across North America, Europe, and Asia, managing $739 billion for investors worldwide as of June 30, 2024. Dimensional is an investment advisor registered with the Securities and Exchange Commission.
• Manage Dimensional’s enterprise investment data warehouse supporting Research, Portfolio Management, Trading, and Analytics functions • Design, develop, document, and test application services for scalable data platforms and services • Expand and optimize data and data pipeline architecture • Build and deliver investment data technology solutions for Research, Portfolio Management, Trading, Analytics, and Reporting • Formulate, design, develop, test, and deliver data technology solutions balancing speed and quality • Collaborate with business analysts, product owners, and project managers on user stories, estimates, and work plans • Advise business clients and IT management on technology capabilities and recommend strategies • Design and implement changes across data ingestion, validation, quality control, integration, storage, management, and delivery • Write unit and integration tests, contribute to the engineering wiki, and produce detailed documentation • Build high-performance, scalable data-transfer toolsets that reliably transfer datasets within established SLAs • Manage data consistency, refresh rates, and caching requirements across interfaces • Build and enhance CI/CD pipelines and participate in code and design reviews • Provide technical troubleshooting and production support
• Bachelor’s degree in engineering, math, computer science, or a related field, or equivalent work experience • 4–5 years of programming experience in Python (open source) or equivalent • Proficiency in building RESTful APIs and web services • 4–5 years of SQL experience • Proven track record of leveraging SOLID principles and Domain Driven Design • Experience in high-performance and high-availability data applications, including performance optimization and tuning • Experience with automated acceptance testing and ability to write unit-tested, maintainable code • Strong understanding of cybersecurity risks and ability to design and build highly secure applications • Experience working in a dynamic and interactive team environment • Knowledge of best practices and IT operations in an always-up, always-available service • Experience with Agile/Scrum and waterfall methodologies with a software development and integration focus • Proficiency with NoSQL database implementation and optimization • Ability to work on multiple programming languages and platforms • Experience or knowledge in financial services industry • Experience with Kafka, Airflow, PostgreSQL, Ansible, Elastic Stack, RabbitMQ, Redis, Docker, Okta, OAuth2, and PlainID
• Comprehensive benefits • Educational initiatives • Special celebrations of the company’s history, culture, and growth
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