Harris | Oakmark
Join to apply for the
Quantitative Data Engineer
role at
Harris | Oakmark Join to apply for the
Quantitative Data Engineer
role at
Harris | Oakmark Get AI-powered advice on this job and more exclusive features. 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
$100,000 - $125,000 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 individual's 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 HR@harrisassoc.com or you can call us at 312-646-3600.
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.
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Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
Quantitative Data Engineer
role at
Harris | Oakmark Join to apply for the
Quantitative Data Engineer
role at
Harris | Oakmark Get AI-powered advice on this job and more exclusive features. 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
$100,000 - $125,000 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 individual's 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 HR@harrisassoc.com or you can call us at 312-646-3600.
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.
Seniority level
Seniority level
Entry level Employment type
Employment type
Full-time Job function
Job function
Information Technology Referrals increase your chances of interviewing at Harris | Oakmark by 2x Sign in to set job alerts for Data Engineer roles.
Deerfield, IL $98,600.00-$157,500.00 2 months ago Deerfield, IL $98,600.00-$157,500.00 2 months ago Deerfield, IL $98,600.00-$157,500.00 2 months ago Chicago, IL $150,000.00-$300,000.00 6 days ago Chicago, IL $124,000.00-$178,000.00 6 days ago Chicago, IL $69,700.00-$120,950.00 2 days ago Chicago, IL $112,597.33-$152,810.66 5 days ago Chicago, IL $95,600.00-$162,400.00 2 weeks ago Chicago, IL $120,000.00-$140,000.00 1 week ago Software Engineer (New or Recent Graduate)
Chicago, IL $63,300.00-$117,200.00 3 days ago Chicago, IL $70,000.00-$85,000.00 1 week ago Chicago, IL $90,000.00-$140,000.00 2 weeks ago Chicago, IL $90,000.00-$120,000.00 1 week ago Deerfield, IL $79,300.00-$127,000.00 2 days ago Deerfield, IL $79,300.00-$127,000.00 2 days ago Chicago, IL $61,980.00-$93,110.00 2 days ago Rosemont, IL $105,000.00-$125,000.00 1 week ago Greater Chicago Area $60,000.00-$70,000.00 2 days ago Chicago, IL $95,000.00-$215,000.00 1 week ago Chicago, IL $75,000.00-$93,000.00 2 weeks ago Python Developer / Data Engineer, New Grad
Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr