Quantitative Data Engineer
Quantitative Data Engineer
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$ 100000 - 125000
1 Vacancy
Job Description
At Harris the true value of what makes us successful is found in our people. It is our unique mix of cultures experiences beliefs and backgrounds that sets Harris apart from the rest. We constantly strive to cultivate nurture and amplify an unparalleled environment where we value intellectual curiosity and uniqueness of thought. Inclusion is embedded in the very fabric of our culture of collaboration and openness.
We understand that a job description only tells one part of a broader story and Harris is seeking dynamic candidates who can add to our best-in-class environment. We recognize that qualifications can be gained through both traditional and non-traditional paths and we are committed to considering candidates who possess the potential to be excellent in this role regardless of prior experiences.
Therefore we encourage ALL interested individuals to submit their applications even if they do not meet every requirement outlined in the job description.
The Position
The Quantitative Engineering team is responsible for designing building and maintaining the firms data infrastructure cloud platforms and integration frameworks that empower the Quantitative Research function. This includes delivering highly reliable data-driven research capabilities advanced analytics and actionable portfolio insights to optimize portfolio construction enhance risk reporting and support ongoing research initiatives.
The Quantitative Data Engineer plays a pivotal role in developing and managing scalable data pipelines analytical tools and cloud-based infrastructure that enable the generation of actionable investment insights. Responsibilities include sourcing curating and integrating data from internal platforms and external market data providers into both research and production environments while ensuring data accuracy availability and integrity. The role involves close collaboration with Quantitative Research leadership and cross-functional engineering and technology teams to enhance system resiliency infrastructure scalability and data architecture. Success in this role requires curiosity a proactive mindset and a strong dedication to maintaining data accuracy and integrity.
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 firms 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
Qualifications
Required
- Bachelors degree in engineering Finance Statistics Computer Science or Data Science (STEM discipline preferred); advanced degree is a plus
- 13 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
We offer a comprehensive benefits package designed to integrate life and work and to support our employees and their families. Benefits include but are not limited to; medical prescription drug dental and vision insurance paid time off profit sharing plan 401k plan tuition reimbursement commuter and holistic wellness benefits along with volunteer programs.
Actual annual base salaries may vary based on factors including but not limited to education training experience and other job-related factors. If hired base pay will be determined on an individualized basis and is only one part of the total compensation package which depending on the position may also include a discretionary performance bonus and other Harris sponsored benefit programs.
Expected range for this Chicago-based role
$100000 - $125000 USD
Equal Employment Opportunity Policy Statement
Harris Associates L.P. pursues a policy of equal opportunity in all areas of employment including recruitment hiring training compensation benefits advancement and treatment on the job. This means that Harris does not discriminate against employees or qualified applicants based on an individuals race color religion creed sex age national origin physical disability sexual orientation trans-gender status transsexual status status as a veteran or disabled veteran genetic information or for any other reason prohibited by law. Harris reserves the right to review publicly available information about applicants (i.e. via social networking sites) to the extent permissible under applicable law.
Reasonable Accommodation Notice
We provide reasonable accommodation for individuals with disabilities and disabled veterans in job application procedures. If you have any difficulty using our online system and you need an accommodation due to a disability you may use the alternative email address below to contact us about your interest in employment at or you can call us at .
Privacy Statement
The information you send to us is used for employment purposes only. What you send is kept confidentialwe will not give your personal information to outside parties without your consent.
Employment Type
Full Time
