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Quantitative Developer Jobs in Alabama (NOW HIRING)

Socket.dev

Senior Data Analyst

Huntsville, AL · On-site

$90 - $130/hr

Advanced proficiency with visualization tools (Power BI, Tableau) and quantitative programming tools (Python, R, SQL). * Strong capability to communicate complex mathematical and analytical findings ...

Prolog Inc.

Senior Data Analyst

Huntsville, AL · On-site

$89K - $112K/yr

Advanced proficiency with visualization tools (Power BI, Tableau) and quantitative programming tools (Python, R, SQL). * Strong capability to communicate complex mathematical and analytical findings ...

nou Systems Inc

Senior Software Developer

Huntsville, AL · On-site

$120 - $175/hr

... quantitative information, and flex with the needs of the wider team and project when necessary ... engineering, prototype development, and technical and professional services in multiple markets ...

Nou Systems Inc

Senior Software Developer

Huntsville, AL · On-site

$50.75 - $67/hr

... quantitative information, and flex with the needs of the wider team and project when necessary ... engineering, prototype development, and technical and professional services in multiple markets ...

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All JobsQuantitative Developer JobsQuantitative Developer Jobs in Alabama

Quantitative Developer information

See Alabama salary details

$88.8K

$153.8K

$235.2K

How much do quantitative developer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for quantitative developer in Alabama is $153,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,900.00 and $180,400.00 per year, depending on experience, location, and employer.

What is a quantitative developer?

Quantitative Developers, often called 'quant devs,' are professionals who combine expertise in programming, mathematics, and finance to design, develop, and maintain complex financial models and trading algorithms. They work closely with quantitative analysts (quants) to implement models that analyze financial data, price securities, or automate trading strategies. Their role typically involves programming in languages like Python, C++, or Java, and working with large datasets to ensure the efficiency and accuracy of financial systems. Quantitative Developers play a critical role in investment banks, hedge funds, and financial technology firms.

What are the key skills and qualifications needed to thrive as a quantitative developer?

To thrive as a Quantitative Developer, you need expertise in mathematics, statistics, programming (often in Python, C++, or Java), and a strong background in quantitative finance or a related field. Familiarity with financial modeling tools, version control systems like Git, and experience with data analysis libraries or platforms are typically required. Strong problem-solving abilities, attention to detail, and effective communication make candidates stand out in this role. These skills are crucial for developing robust, efficient models and tools that directly support trading, risk management, and financial decision-making.

How does a quantitative developer typically collaborate with quantitative analysts and traders in a financial firm?

Quantitative Developers work closely with quantitative analysts to implement mathematical models into robust, efficient code that can be used by traders for real-time decision-making. They often translate research prototypes into production-ready applications, ensuring that the models are both accurate and optimized for speed. Regular communication with traders helps Quantitative Developers understand the practical requirements of trading strategies, allowing them to tailor tools and systems for maximum usability and impact. This collaborative environment is essential for quickly adapting to market changes and maintaining a competitive edge.

What is the difference between Quantitative Developer vs Quantitative Analyst?

AspectQuantitative DeveloperQuantitative Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related field; programming skills (Python, C++, Java)Degree in Finance, Economics, or Mathematics; strong analytical skills
Work EnvironmentPrimarily software development, coding, and system implementationData analysis, modeling, and strategy development
Employer & Industry UsageFinancial firms, hedge funds, trading desksInvestment banks, asset management firms, hedge funds
Common Search & ComparisonFocuses on coding and system buildingFocuses on market analysis and strategy

While both roles work within the finance industry and require quantitative skills, Quantitative Developers primarily focus on building and maintaining trading systems and algorithms through programming. Quantitative Analysts concentrate on analyzing data and developing models to inform trading strategies. The roles often collaborate but differ in their core responsibilities and skill sets.

More about Quantitative Developer jobs

What are the most commonly searched types of Quantitative Developer jobs in Alabama?

The most popular types of Quantitative Developer jobs in Alabama are:

What are popular job titles related to Quantitative Developer jobs in Alabama?

For Quantitative Developer jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Quantitative Developer jobs in Alabama look for?

The top searched job categories for Quantitative Developer jobs in Alabama are:

What cities in Alabama are hiring for Quantitative Developer jobs?

Cities in Alabama with the most Quantitative Developer job openings:

What are popular job titles related to Quantitative Developer jobs in AL?

For Quantitative Developer jobs in AL, the most frequently searched job titles are:

Quantitative Developer jobs near you
Infographic showing various Quantitative Developer job openings in Alabama as of August 2026, with employment types broken down into 80% Full Time, 4% Part Time, and 16% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $153,840 per year, or $74 per hour.

Senior Data Analyst

Huntsville, AL • On-site

Socket.dev
Network Security • 1 - 10 employees
Learn more about Socket.devexternal

$90 - $130/hr

Other

Posted 8 days ago

Job description

ProLog, Inc. is seeking a Senior Data Analyst to lead data analytics and predictive modeling efforts supporting the U.S. Army Aviation and Missile Command (AMCOM) Logistics Center (ALC) Supply Chain Management Directorate (SCMD) at Redstone Arsenal, Alabama. The Senior Data Analyst will serve as the technical lead for data mining, statistical modeling, machine learning, and business intelligence development. This position is responsible for transforming raw Army logistics data into advanced descriptive, predictive, and prescriptive models that optimize supply availability, reduce pipeline cycle times, and support AI-driven decision-making for defense supply chain leadership.

Key Responsibilities
  • Lead advanced data analytics, statistical modeling, data mining, and predictive decision-support activities for AMCOM SCMD.
  • Design, build, and deploy advanced analytical models to forecast supply demand, asset failure rates, repair turnaround times, and inventory requirements.
  • Develop interactive business intelligence dashboards, executive visualizations, and reporting tools using Power BI, Tableau, and custom analytics software.
  • Perform complex data extraction, cleaning, transformation, and validation across massive, disparate Army logistics and enterprise data sources.
  • Apply statistical techniques, regression analysis, machine learning algorithms, and operations research methodologies to solve complex supply chain challenges.
  • Analyze supply chain cycle times, data processing bottlenecks, error rates, and system compliance IAW contract AQL standards (<3% error rate, >95% turnaround).
  • Collaborate with Senior Logistics Analysts to translate operational supply chain queries into mathematical models and data science solutions.
  • Evaluate supply chain risk factors, readiness impacts, and mitigation strategies using predictive data simulation.
  • Automate recurring data extraction, reporting processes, and performance metric tracking to enhance analytical efficiency.
  • Develop technical documentation, statistical reports, trend analysis products (CDRL A009), and briefing decks for military and civilian executives.
  • Provide technical direction, code review, mentorship, and guidance to junior program/data analysts.
  • Ensure data handling complies with DoD cybersecurity directives, CUI protocols, AR 25-2, and Army information assurance standards.
  • Coordinate with internal software developers to integrate analytical algorithms into custom web applications and decision-support tools.
  • Participate in technical working groups, Army AI/ML initiatives, and enterprise data architecture discussions.
Required Qualifications
  • Bachelor's degree in Data Science, Operations Research, Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 7 or more years of professional experience in data analytics, data science, or statistical modeling.
  • 3 or more years of experience applying data analytics within a supply chain, logistics, or defense operational environment.
  • Demonstrated expertise in data mining, statistical analysis, predictive modeling, and machine learning techniques.
  • Advanced proficiency with visualization tools (Power BI, Tableau) and quantitative programming tools (Python, R, SQL).
  • Strong capability to communicate complex mathematical and analytical findings to non-technical executive stakeholders.
  • Ability to mentor and provide technical oversight to supporting junior data analysts.
  • Must possess or be eligible to obtain and maintain a SECRET security clearance eligibility.
Preferred Experience
  • Direct experience analyzing Army aviation, missile, or defense supply chain data structures.
  • Familiarity with Army enterprise data platforms (LMP, Vantage, AESIP, GCSS-Army).
  • Experience developing artificial intelligence (AI) or machine learning (ML) solutions for demand planning or inventory optimization.
  • Knowledge of big data technologies, cloud data environments (GCC High), and SQL database architectures.
  • Experience supporting defense acquisition metrics, readiness reporting, and executive decision-support.
  • Current SECRET security clearance eligibility.
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