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Internship Quantitative Developer Jobs in Texas (NOW HIRING)

... data engineers and software engineers * Lead data science initiatives that impact operations ... Manage and mentor interns, junior data scientists and analysts * Translate advanced analytics ...

... on quantitative feedback; knows and explains the "why" behind actions * Prioritized reaction ... Previous internship or co-op experience in a manufacturing environment or lab environment. * Strong ...

... data engineers and software engineers * Lead data science initiatives that impact operations ... Manage and mentor interns, junior data scientists and analysts * Translate advanced analytics ...

Follow and help establish engineering standards (version control, documentation, testing, and data ... quantitative field (or equivalent demonstrated capability) * Demonstrated ability to build in ...

... related quantitative field. * 1-3 years of relevant experience, which may include internships ... engineering. * Exposure to insurance, actuarial science, or financial services is a plus but not ...

We are looking for passionate Software Engineering Interns with a strong interest in Artificial ... quantitative field. AI & LLM Foundational Knowledge: Hands-on experience or academic projects ...

We are looking for passionate Software Engineering Interns with a strong interest in Artificial ... quantitative field. AI & LLM Foundational Knowledge: Hands-on experience or academic projects ...

... Engineering, Physics, Quantitative Economics, or a related analytical discipline * 1-3 years of experience in data analysis, business analytics, or a similar quantitative role (internships and ...

... Engineering, Physics, Quantitative Economics, or a related analytical discipline * 1-3 years of experience in data analysis, business analytics, or a similar quantitative role (internships and ...

Previous internship or co-op experience in a manufacturing environment or lab environment. * Strong ... on quantitative feedback; knows and explains the "why" behind actions * Prioritized reaction ...

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Internship Quantitative Developer information

What is the difference between Internship Quantitative Developer vs Quantitative Analyst?

AspectInternship Quantitative DeveloperQuantitative Analyst
Required CredentialsUndergraduate or graduate degree in finance, math, or computer science; programming skillsDegree in finance, economics, or related field; strong analytical skills
Work EnvironmentInternship setting within financial firms, focusing on coding and model developmentFull-time role analyzing data, developing models, and providing trading insights
Employer & Industry UsageUsed by hedge funds, investment banks, and asset managers during internship programsCommon in investment firms, banks, and hedge funds for ongoing analysis

Internship Quantitative Developers typically focus on coding and developing trading algorithms during their internship, while Quantitative Analysts analyze data and develop models in a full-time capacity. Both roles require strong quantitative skills, but the internship is a temporary entry point, whereas the analyst role is a permanent position.

What does an Internship Quantitative Developer do?

An Internship Quantitative Developer assists in designing and implementing quantitative models and tools used in financial analysis, trading, or risk management. They work closely with quantitative analysts and software engineers to develop algorithms, analyze data, and optimize trading strategies. The role typically involves programming, data analysis, and collaborating on research projects, providing valuable hands-on experience in quantitative finance.

What are the key skills and qualifications needed to thrive as an Internship Quantitative Developer, and why are they important?

To thrive as an Internship Quantitative Developer, you need a solid background in mathematics, statistics, and programming—typically supported by progress toward a degree in quantitative fields like computer science, engineering, or finance. Familiarity with technical tools such as Python, C++, MATLAB, and version control systems, as well as experience with financial data platforms, is highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with teams and interpret complex data. These competencies are crucial for developing robust quantitative models and contributing meaningfully to financial technology projects in a fast-paced environment.

What kinds of projects and tasks can an Internship Quantitative Developer expect to work on during their internship?

As an Internship Quantitative Developer, you can expect to work on a variety of projects such as developing and optimizing trading algorithms, analyzing large financial data sets, and creating back-testing frameworks to evaluate model performance. You may also assist in implementing code for pricing, risk management, or automated trading strategies under the guidance of senior quants and developers. Collaboration is common, as you’ll often work closely with quantitative analysts, traders, and software engineers to understand requirements, troubleshoot issues, and refine solutions. This hands-on exposure provides valuable learning opportunities and can be a stepping stone toward a full-time quantitative or developer role.
What are the most commonly searched types of Quantitative Developer jobs in Texas? The most popular types of Quantitative Developer jobs in Texas are:
What are popular job titles related to Internship Quantitative Developer jobs in Texas? For Internship Quantitative Developer jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Internship Quantitative Developer jobs? Cities in Texas with the most Internship Quantitative Developer job openings:
Senior Data Scientist

Senior Data Scientist

NOV, Inc.

Houston, TX • On-site

Full-time

Re-posted 13 days ago


NOV rating

8.0

Company rating: 8.0 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

150th of 430 rated machine equipment manufacturers


Job description


Reports to: VP Data & Analytics
As a Senior Data Scientist, you will:
  • Partner with business leaders to identify high-value opportunities in areas such as demand planning, capacity/production planning, procurement, and financial forecasting
  • Develop a firm understanding of specific business processes and real-world workflows
  • Work closely with cross-functional teams including domain experts, business analysts, data engineers and software engineers
  • Lead data science initiatives that impact operations globally across multiple business units
  • Define project scope, timelines and deliverables in collaboration with business leaders
  • Architect scalable machine learning and forecasting solutions within cloud platforms such as AWS, Azure, Databricks, and Snowflake
  • Ensure models are production-ready, robust, and maintainable with appropriate monitoring and retraining pipelines
  • Develop standardized methodologies and frameworks to ensure scalability and consistency across diverse environments
  • Ensure compliance with data governance, privacy, and security standards while scaling analytics solutions globally
  • Manage and mentor interns, junior data scientists and analysts
  • Translate advanced analytics results into strategic recommendations for VP and C-level leadership
  • Utilize programming languages such as SQL, Python for data manipulation, analysis and model development

SUGGESTED QUALIFICATIONS
  • Master's degree in a quantitative discipline
  • Five or more years of professional data science experience in manufacturing and/or supply chain environments
  • Hands-on experience working with ERP data and operational processes including order-to-cash, procure-to-pay, and demand-to-deliver
  • Proven ability to communicate complex or technical concepts clearly to both technical and non-technical audiences
  • Advanced proficiency in Python, SQL and PySpark; experience wrangling large relational datasets
  • Deep expertise in machine learning, forecasting and optimization
  • Experience deploying enterprise-scale solutions in cloud environments (AWS experience preferred)
  • Proficient in at least one data visualization library such as Matplotlib, Seaborn, or Plotly
  • Knowledge of Streamlit for building interactive data applications preferred
  • Familiarity with MLOps practices, CI/CD pipelines, and model lifecycle management
  • Demonstrated ability to drive business impact and ROI through analytics
  • Strong track record of executive-level communication and influence
  • Experience leading cross-functional teams across multiple geographies

What NOV employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


NOV logo

About NOV

Sourced by ZipRecruiter

Throughout every region in the world and across every area of drilling and production, our family of companies has provided the technical expertise, advanced equipment and operational support necessary for success. We have the people, capabilities and vision to serve the needs of a challenging and evolving industry. One the world can’t live without. We are a global family of thousands of individuals, working as one team to create lasting impact for ourselves, our customers and the communities where we live and work. We take responsibility for each other and our company’s future, knowing that personal ownership leads to broader success. We believe in purposeful innovation because we see what others do not and we act. Through business innovation, product creation and service delivery, we are driven to power the industry that powers the world better.

Industry

Oil and gas extraction

Company size

10,000+ Employees

Headquarters location

Houston, TX, US

Year founded

1841