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Quantitative Developer
Sub Divisi Perencanaan Tenaga Kerja dan Manajemen Talenta - Head Office PTPN IV
Dubai, UAE
Parttime
Mid
2 weeks ago
PythonC++JavaSQLAlgorithmsData Structures
Free
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PythonC++Java
About the Role
We are seeking a Quantitative Developer to design, develop, and maintain quantitative models and software solutions for data-driven decision-making and financial modeling. You will collaborate with quantitative analysts and data scientists to implement pricing models and optimization algorithms.
Key Skills for This Role
PythonC++JavaSQLAlgorithmsData Structures
Responsibilities
- Design and develop quantitative libraries, data processing pipelines, model integration frameworks, and automated analytical tools
- Optimize algorithms for speed and scalability, validate model implementation, and ensure computational accuracy through testing and documentation
- Manage large datasets, develop APIs and system interfaces, and integrate quantitative models into enterprise applications and cloud based environments
- Contribute to system architecture decisions, code reviews, and continuous improvement initiatives
- Support model validation, performance monitoring, and troubleshooting activities while ensuring compliance with standards
- Stay current with advances in quantitative finance, data science, machine learning, and software engineering
Requirements
- Bachelor's degree in Computer Science, Software Engineering, Mathematics, Statistics, Quantitative Finance, Physics, Engineering, Data Science, or a related quantitative discipline
- Strong programming skills in Python, C++, Java, C#, or similar object oriented programming languages
- Proficiency in SQL and experience working with relational and non relational databases
- Strong understanding of algorithms, data structures, software design patterns, and object oriented programming principles
- Knowledge of probability, statistics, linear algebra, calculus, optimization, and numerical methods
- Experience implementing quantitative models, financial analytics, statistical algorithms, or machine learning solutions
- Familiarity with software development lifecycle (SDLC), version control systems (Git), testing frameworks, and continuous integration practices
Full Job Posting
Role Description
- We are seeking a highly analytical and technically proficient Quantitative Developer to design, develop, and maintain quantitative models, analytical tools, and software solutions that support data driven decision making, financial modeling, and risk analysis.
- The successful candidate will combine strong programming expertise with quantitative methods to build scalable applications and computational frameworks that enhance research, trading, risk management, and business analytics.
- The Quantitative Developer will collaborate closely with quantitative analysts, data scientists, risk professionals, and technology teams to translate mathematical models into efficient, production ready software solutions.
Key Responsibilities
- Design and develop quantitative libraries, data processing pipelines, model integration frameworks, and automated analytical tools.
- Optimize algorithms for speed and scalability, validate model implementation, and ensure computational accuracy through comprehensive testing and documentation.
- Manage large datasets, develop APIs and system interfaces, and integrate quantitative models into enterprise applications and cloud based environments.
- Contribute to system architecture decisions, code reviews, and continuous improvement initiatives to enhance software quality and operational efficiency.
- Support model validation, performance monitoring, and troubleshooting activities while ensuring compliance with software development standards, data governance policies, and model risk management requirements.
- Stay current with advances in quantitative finance, data science, machine learning, and software engineering to drive innovation and improve analytical capabilities.
Qualifications
- Bachelor's degree in Computer Science, Software Engineering, Mathematics, Statistics, Quantitative Finance, Physics, Engineering, Data Science, or a related quantitative discipline.
- Strong programming skills in Python, C++, Java, C#, or similar object oriented programming languages.
- Proficiency in SQL and experience working with relational and non relational databases.
- Strong understanding of algorithms, data structures, software design patterns, and object oriented programming principles.
- Knowledge of probability, statistics, linear algebra, calculus, optimization, and numerical methods.
- Experience implementing quantitative models, financial analytics, statistical algorithms, or machine learning solutions.
- Familiarity with software development lifecycle (SDLC), version control systems (Git), testing frameworks, and continuous integration practices.
- Experience working with cloud platforms, distributed computing, or high performance computing environments is advantageous.
- Strong understanding of data processing, ETL pipelines, and large scale data management.
- Knowledge of financial markets, derivatives, portfolio management, or risk management concepts is advantageous.
- Strong analytical and problem solving skills with the ability to optimize complex computational solutions.
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