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Quantitative Data Engineer Jobs in Oklahoma (NOW HIRING)

Financial Data Engineer

Norman, OK ยท On-site

$93K - $121K/yr

Bachelor degree in Computer Science, Data Science, Financial Engineering, Quantitative Finance, or a related sciences/technology field, or equivalent experience * 3-5 years of experience in any/all ...

Financial Data Engineer

Norman, OK ยท On-site

$93K - $121K/yr

Bachelor degree in Computer Science, Data Science, Financial Engineering, Quantitative Finance, or a related sciences/technology field, or equivalent experience * 3-5 years of experience in any/all ...

Bachelor degree in Computer Science, Data Science, Financial Engineering, Quantitative Finance, or a related sciences/technology field, or equivalent experience * 3-5 years of experience in any/all ...

D. in neuroscience, bioinformatics, data science, biomedical engineering, or a related field (degree must be conferred on or before agreed upon start date) * Experience with quantitative data ...

... quantitative discipline * 6+ years of experience in data science, analytics, or applied research ... Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ...

... engineering, implementation, and leadership about what we're building and why. If you're used to ... Synthesize qualitative and quantitative data to drive product decisions and translate field ...

... engineering, implementation, and leadership about what we're building and why. If you're used to ... Synthesize qualitative and quantitative data to drive product decisions and translate field ...

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Quantitative Data Engineer information

What are the key skills and qualifications needed to thrive as a quantitative data engineer, and why are they important?

To excel as a Quantitative Data Engineer, you need strong proficiency in programming (such as Python, R, or C++), advanced mathematical and statistical knowledge, and a relevant degree in computer science, mathematics, or a related field. Experience with big data tools (like Spark, Hadoop), cloud platforms, and data pipeline systems, as well as familiarity with financial data sets, is typically required. Analytical thinking, detail orientation, and effective problem-solving skills distinguish top performers in this role. These competencies are critical for efficiently transforming complex data into actionable insights and supporting robust quantitative models in data-driven environments.

What is a quantitative data engineer?

A Quantitative Data Engineer is a professional who designs, builds, and maintains data infrastructure that supports quantitative analysis, typically in finance or technology sectors. They work closely with quantitative analysts and data scientists to ensure efficient data pipelines, data quality, and high-performance systems for processing large datasets. Their responsibilities include developing ETL processes, optimizing databases, and implementing data models to support research and trading strategies. Strong programming skills, expertise in big data technologies, and knowledge of quantitative methods are essential for this role.

What is the difference between Quantitative Data Engineer vs Data Scientist?

AspectQuantitative Data EngineerData Scientist
Primary FocusBuilding data pipelines, data infrastructure, and ensuring data qualityAnalyzing data, creating models, and deriving insights
Skills & ToolsSQL, Python, Spark, ETL processes, data architectureStatistics, machine learning, Python/R, data visualization
CredentialsComputer science, engineering, or related degrees; certifications in data engineeringStatistics, data science, or related degrees; certifications in data analysis or machine learning
Work EnvironmentData engineering teams, data infrastructure projectsData analysis teams, research, and modeling projects

While both roles work closely with data, Quantitative Data Engineers focus on building and maintaining data systems, whereas Data Scientists analyze data to generate insights and models. They often collaborate but have distinct skill sets and responsibilities within data-driven organizations.

How does a quantitative data engineer typically collaborate with data scientists and quantitative analysts on projects?

Quantitative Data Engineers work closely with data scientists and quantitative analysts to design, build, and optimize data pipelines that support complex modeling and analytics. They are often responsible for ensuring data quality, scalability, and efficient data processing, enabling analysts to focus on developing models and extracting insights. Regular collaboration includes translating analytical requirements into technical solutions, troubleshooting data issues, and iterating on data infrastructure to support evolving project needs. This teamwork fosters an environment where technical and analytical expertise complement each other, leading to more robust and actionable results.
What are popular job titles related to Quantitative Data Engineer jobs in Oklahoma? For Quantitative Data Engineer jobs in Oklahoma, the most frequently searched job titles are:
What cities in Oklahoma are hiring for Quantitative Data Engineer jobs? Cities in Oklahoma with the most Quantitative Data Engineer job openings:
Infographic showing various Quantitative Data Engineer job openings in Oklahoma as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Financial Data Engineer

MSCI

Norman, OK โ€ข On-site

$93K - $121K/yr

Full-time

Re-posted 5 days ago


Job description

Your Team Responsibilities

The Reference & Security Master Development Team is responsible and accountable for the architecture design, software engineering, integration, and deployment of large-scale market data initiatives in support of MSCI's multi asset class suite of products across Enterprise Portfolio Management and Analytics, ESG, Index, Private Asset, and Stand-Alone Data businesses. The global reference data team consists of highly motivated, multi-talented and experienced technology developers with broad content backgrounds working in a fast paced and results-oriented Agile development environment, leveraging modern and innovative technologies. The scope of market data spans equity and derivatives markets, fixed income, securitized, credit and legal entity/issuer content.

Your Key Responsibilities

Software Engineering -- architect, design and develop secure, high performance, scalable & maintainable applications using appropriate architectural patterns and modern innovative technologies Coordination and collaboration with internal OneMSCI Stakeholders -- Research & Product Management, Operations & Data Content Services, and Infrastructure teams. Convert business requirements into applications and tools in alignment with product functionality and content roadmaps Improve and create a modern and sophisticated platform using latest technologies and following industry best practices Evaluate different Architectural & Design approaches, solutions, frameworks & technologies Develop best practices for architecture, design, coding & automated test coverage Collaborate with Enterprise Architecture team to develop & use common Architectural principles Develop, document and deploy reliable and scalable software to automate the operation and management of MSCI market data, and terms & condition databases Ensure optimal availability, latency, scalability and efficiency of real-time application development through advocating engineering reliability into the development life cycle with a focus on fault tolerant approaches Develop and maintain automated testing framework for continuous integration and deployment Working in DevOps model to support automated monitoring, telemetry, and feedback of production processes Prepare written and diagramed architecture, design, and workflow proposals for both internal technology teams and management presentations

Your skills and experience that will help you excel
  • Bachelor degree in Computer Science, Data Science, Financial Engineering, Quantitative Finance, or a related sciences/technology field, or equivalent experience
  • 3-5 years of experience in any/all of: Python, Perl, C/C++, Linux/Unix, Git Version Control, PL/SQL, Microsoft Azure & DevOps pipeline development
  • Proficiency in SQL/Relational databases: Oracle, SQL Server, Azure SQL, Postgres
  • Experience with and demonstrated capabilities in big data environments and cloud storage technologies (e.g., ADLS, Snowflake, etc.)
  • Experience building market data systems in a large multi asset class environment - covering financial products, instrument reference data, legal entity hierarchy, corporate fundamental data and corporate actions, benchmark/index data, and instrument and derivatives pricing and settlement
  • Experience with large vendor market data architectures and products (e.g., LSEG/Refinitiv DataScope and Onsite Fixed Income-EJV, Markit, IDC, S&P, Moody's, etc.) and/or multi asset class 3rd party benchmark data (e.g., JPM, FTSE, iBoxx, Merrill, Bloomberg/Barcap, etc.)
  • Hands-on experience using AI coding assistants such as Claude Code, Cursor, GitHub Copilot, or Codex to accelerate coding, debugging, and data pipeline development; familiarity with MCP or reusable Skills is a plus
  • Strong work ethic and demonstrated ability to work independently
  • Excellent communication and presentation skills
About MSCI

What we offer you

  • Salary range: $93,000 - $121,000 / year plus eligible for annual bonusย 
  • Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.
  • Flexible working arrangements, advanced technology, and collaborative workspaces.
  • A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.
  • A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.
  • Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.
  • Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.
  • We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women's Leadership Forum.

At MSCI we are passionate about what we do, and we are inspired by our purpose - to power better investment decisions. You'll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.

MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process.

MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries.

To all recruitment agencies

MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes.

Note on recruitment scams

We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Employment Type: FULL_TIME

MSCI logo

About MSCI

Sourced by ZipRecruiter

Industry

Finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

New York, NY, US

Year founded

1969

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