Quantitative Developer

Workster is partnering with a leading client in the financial technology sector to find a highly skilled and motivated Quantitative Developer.

In this role, you will play a key part in developing, optimizing, and maintaining quantitative tools, models, and applications to support trading, risk management, and financial research initiatives. If you have a strong foundation in Excel VBA, Python, and SQL, along with experience in Linux-based environments and CI/CD pipelines, we want to hear from you.

Your Role:

• Design, develop, and maintain quantitative models, libraries, and analytical tools.
• Write clean, efficient, and well-documented code using Python, Excel VBA, and SQL.
• Collaborate with quants, analysts, and traders to understand business needs and translate them into technical solutions.
• Build, optimize, and manage CI/CD pipelines to enhance development workflows.
• Ensure system performance, scalability, and stability in a Linux-based environment.
• Debug, monitor, and resolve production issues, ensuring minimal disruptions to operations.
• Participate in code reviews, testing, and quality assurance to uphold high coding standards.
• Stay updated on industry trends, technologies, and best practices in quantitative development.

Your Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or a related field.
• 3+ years of experience as a Quantitative Developer, Software Engineer, or in a similar role.
• Proficiency in Python programming, with experience using libraries like Pandas, NumPy, and SciPy.
• Advanced VBA skills for building and maintaining Excel-based financial models.
• Strong SQL experience for querying and managing relational databases.
• Expertise in Linux systems, including shell scripting and process management.
• Hands-on experience building and maintaining CI/CD pipelines with tools like Jenkins, GitLab CI/CD, or similar.
• Familiarity with source control systems like Git.
• Excellent analytical and problem-solving skills in fast-paced, team-oriented environments.
• Strong communication skills for effective collaboration with stakeholders and technical teams.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of containerization tools like Docker and orchestration platforms like Kubernetes.
• Understanding of risk management, trading strategies, or financial modeling concepts.

  The Offer:

• Exciting challenges: Work on cutting-edge projects in quantitative finance, trading, and automation.
• Dynamic team culture: Join a fast-paced team with a supportive, startup-like environment focused on growth and development.
• Professional development: Collaborate with a people-focused leader and enjoy opportunities to enhance your skills and expertise.