Harris | Oakmark · 1 week ago
Quantitative Data Engineer
Harris Associates is a company that values intellectual curiosity and uniqueness of thought, seeking dynamic candidates to enhance their collaborative environment. The Quantitative Data Engineer will develop and manage scalable data pipelines and cloud-based infrastructure to support quantitative research, ensuring data accuracy and integrity while collaborating with cross-functional teams.
Financial ServicesProfessional Services
Responsibilities
Build pipelines and data infrastructure that support the Quantitative Research team in conducting historical analysis, back testing, and optimization, and assist in developing tools to aid portfolio managers with portfolio construction and management
Contribute to the design, implementation, and maintenance of quantitative models, proprietary analytic tools that support portfolio construction and research
Assist in the development and execution of risk attribution and reporting processes for investment teams and clients
Support the Head of Quantitative Research, portfolio managers, analysts, and investment team members with custom research and client-oriented projects
Maintain development environments, operational workflows, and support systems for the firm’s quantitative technology and data platforms
Develop expertise in vendor platforms (e.g., FactSet, Bloomberg) to enhance Quantitative Research workflows and data management, augmenting internal tools
Implement data governance, lineage, and monitoring solutions to ensure data integrity, traceability, and operational reliability across quantitative systems
Qualification
Required
Bachelor's degree in engineering, Finance, Statistics, Computer Science, or Data Science (STEM discipline preferred); advanced degree is a plus
1–3 years of experience, preferably in financial services or investment management
Understanding of portfolio theory, risk management, and investment analytics
Proficient in Python for data science, statistical analysis and ETL
Proven ability to design data pipelines on Microsoft Azure with continuous delivery, automation, and orchestration
Skilled in visualization tools and APIs
Advanced SQL proficiency with in-depth knowledge of relational databases, data warehousing, and modern data architecture
Hands-on experience managing proprietary platforms supporting quantitative research, order management, trading, and research operations
Effective project management skills with a track record of fast-paced, iterative delivery through proactive input gathering and cross-functional collaboration
Preferred
End-to-end experience with the software development lifecycle (SDLC), using Agile/Scrum frameworks and tools such as Jira
Proficient in version control systems (e.g., SVN, Git), including branching and merging workflows
Skilled in building and maintaining scalable data pipelines using Databricks
Familiarity with optimizers and factor risk models to support quantitative analysis and portfolio construction
Experience with financial data platforms, including FactSet, Bloomberg, and Morningstar
Understanding of cloud-native principles and Software as a Service (SaaS) architecture
Benefits
Medical, prescription drug, dental and vision insurance
Paid time off
Profit sharing plan
401k plan
Tuition reimbursement
Commuter and holistic wellness benefits
Volunteer programs
Company
Harris | Oakmark
Discipline is the Harris Associates way.
H1B Sponsorship
Harris | Oakmark has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (3)
2023 (3)
2020 (2)
Funding
Current Stage
Growth StageLeadership Team
Recent News
2025-06-11
Seeking Alpha
2025-01-15
Company data provided by crunchbase