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Senior Quantitative Developer Jobs in Alabama (NOW HIRING)

Prolog Inc.

Senior Data Analyst

Huntsville, AL · On-site

$89K - $112K/yr

ProLog, Inc. is seeking a Senior Data Analyst to lead data analytics and predictive modeling ... Advanced proficiency with visualization tools (Power BI, Tableau) and quantitative programming ...

nou Systems Inc

Senior Software Developer

Huntsville, AL · On-site

$120 - $175/hr

Senior Software Developer 2 days ago Requisition ID: 2056 Salary Range: $120,000.00 To $175,000.00 ... quantitative information, and flex with the needs of the wider team and project when necessary.

Nou Systems Inc

Senior Software Developer

Huntsville, AL · On-site

$50.75 - $67/hr

We are pleased to announce openings for Senior Software Developers (front end, back end, and full ... quantitative information, and flex with the needs of the wider team and project when necessary.

Cumming Group

Senior Scheduler

Huntsville, AL · On-site

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

Cumming Group

Senior Scheduler

Huntsville, AL · On-site

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

Cumming Group

Senior Scheduler

Huntsville, AL · On-site

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

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All JobsQuantitative Developer JobsSenior Quantitative Developer JobsSenior Quantitative Developer Jobs in Alabama

Senior Quantitative Developer information

See Alabama salary details

$118.8K

$146.2K

$165.3K

How much do senior quantitative developer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for senior quantitative developer in Alabama is $146,191.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,311.00 and $157,299.00 per year, depending on experience, location, and employer.

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

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.

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 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 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 Senior Quantitative Developer jobs in Alabama?

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

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

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

What cities in Alabama are hiring for Senior Quantitative Developer jobs?

Cities in Alabama with the most Senior Quantitative Developer job openings:

Senior Quantitative Developer jobs near you
Infographic showing various Senior 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 $146,191 per year, or $70.3 per hour.

Senior Data Analyst

Prolog Inc.

Huntsville, AL • On-site

$89K - $112K/yr

Full-time

Posted 5 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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