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Senior Quantitative Developer Jobs in Spring, TX

Utilize programming languages such as SQL, Python for data manipulation, analysis and model ... Master's degree in a quantitative discipline * Five or more years of professional data science ...

Utilize programming languages such as SQL, Python for data manipulation, analysis and model ... Master's degree in a quantitative discipline * Five or more years of professional data science ...

... quantitative). * Knowledge of 4D/5D modeling. * Experience with forensic scheduling analysis of construction or engineering projects independently. * Experience with estimate validation and ...

... quantitative). * Knowledge of 4D/5D modeling. * Experience with forensic scheduling analysis of construction or engineering projects independently. * Experience with estimate validation and ...

... quantitative). * Knowledge of 4D/5D modeling. * Experience with forensic scheduling analysis of construction or engineering projects independently. * Experience with estimate validation and ...

The ideal candidate has strong background in quantitative skills (like statistics, mathematics ... engineering practices, technologies and continuously improving our Agile practices Special ...

Senior Data Scientists at Corva operate with a high degree of autonomy, influence technical ... Engineering, or a related quantitative field * 5+ years of experience building and deploying ...

Senior Analyst, Fundamentals - Power

Houston, TX · On-site

$84K - $111K/yr

Ability to communicate market views clearly, backed by quantitative analytics - explain the "why ... Programming, database skills, or BI software experience a strong plus (SQL Server, Python, VBA, or ...

Senior Analyst, Fundamentals - Power

Houston, TX · On-site

$84K - $111K/yr

Ability to communicate market views clearly, backed by quantitative analytics - explain the "why ... Programming, database skills, or BI software experience a strong plus (SQL Server, Python, VBA, or ...

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Senior Quantitative Developer information

How does a Senior Quantitative Developer typically collaborate with quantitative researchers and traders?

A Senior Quantitative Developer works closely with quantitative researchers to translate their mathematical models into robust, production-ready code. They also partner with traders to understand their workflow needs and ensure that trading systems are reliable, efficient, and responsive to market conditions. Effective communication is key, as the developer must bridge the gap between research insights and operational trading platforms. This collaboration often involves iterative feedback, rapid prototyping, and ongoing support to adapt systems to new strategies or market data.

What is a Senior Quantitative Developer?

A Senior Quantitative Developer is an experienced professional who combines advanced programming skills with deep knowledge of mathematical and statistical modeling to design, implement, and optimize complex financial algorithms and trading systems. They work closely with quantitative analysts and traders to translate mathematical models into efficient, production-ready code, often focusing on areas such as risk management, pricing, and market data analysis. In addition to strong coding abilities, typically in languages like C++, Python, or Java, they are expected to have expertise in financial markets, data structures, and performance optimization. Senior Quantitative Developers often mentor junior team members and contribute to the strategic direction of technology and model development within their firm.

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

AspectSenior Quantitative DeveloperQuantitative Analyst
Required CredentialsAdvanced degrees in math, finance, or computer science; programming skillsSimilar educational background; strong analytical skills
Work EnvironmentDevelops trading algorithms, implements models, collaborates with tech teamsPerforms data analysis, risk assessment, supports trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksAsset management firms, hedge funds, banks

The main difference is that Senior Quantitative Developers focus on building and implementing trading models and software, while Quantitative Analysts primarily analyze data and develop trading strategies. Both roles require strong quantitative skills, but the developer role emphasizes programming and system development, whereas analysts focus more on data analysis and research.

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

To thrive as a Senior Quantitative Developer, you need a strong background in mathematics, statistics, computer science, and financial theory, typically supported by an advanced degree in a quantitative field. Proficiency in programming languages such as Python, C++, or Java, and experience using quantitative libraries, databases, and version control systems are essential, alongside knowledge of relevant industry tools like MATLAB or R. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are crucial soft skills for this role. These abilities enable effective development and implementation of quantitative models, ensuring robust financial analysis and supporting critical business decisions.
What are popular job titles related to Senior Quantitative Developer jobs in Spring, TX? For Senior Quantitative Developer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Senior Quantitative Developer jobs in Spring, TX look for? The top searched job categories for Senior Quantitative Developer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Senior Quantitative Developer jobs? Cities near Spring, TX with the most Senior Quantitative Developer job openings:
Senior Data Scientist

Senior Data Scientist

NOV, Inc.

Houston, TX • On-site

Full-time

Re-posted 6 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