LARION Computing

Overview of job

• Design and develop robust Python-based systems to process and enrich large-scale structured and unstructured financial datasets.
• Collaborate closely with quantitative researchers to transform raw data into high-quality, analysis-ready datasets that fuel signal research and trading strategies.
• Build and maintain validation and monitoring tools to ensure data accuracy, consistency, and completeness.
• Automate software development workflows, including testing, deployment, and performance monitoring, to improve system reliability.
• Diagnose and resolve complex technical issues related to data infrastructure and toolsets used by global research teams.

1. Workplace:

• Join a young and dynamic team with awesome international projects applying the latest technology.
• Working with specialists from all over the world provides you with a fantastic opportunity to expand your skill set.
• Culture of openness and honesty in which individuals are respected and encouraged to achieve their full potential.

2. Benefits comprise:

• 13th-month salary and attractive performance bonuses 
• Premium Healthcare and Accident insurance
• Annual health check package
• Lunch allowance and Free parking
• Advanced technical, English, and soft skills training to assist your career development
• Annual Company trip and Teambuilding
• Engaging monthly events: Happy Gathering, Mini Game, Birthday Celebration, Party, etc.
• A spacious and fully equipped pantry for your most comfortable mealtime
• A wide range of sports and social activities: Football, Badminton, Running, Yoga, Tech clubs, Charity, etc.
• Chance to be honored quarterly and annually with recognition awards for individuals, teams, seniority, etc.
• Company supporting funds to ease your personal loans of Home, Vehicle, Tuition, etc.

• 4+ years of hands-on Python development experience in data-intensive environments.
• Solid understanding of algorithms, data structures, and object-oriented programming (OOP).
• Familiarity with working in Unix/Linux environments and distributed systems.
• Experience building or maintaining data pipelines, APIs, or services for data-driven applications (e.g. using Pandas, FastAPI, Airflow, or similar).
• Exposure to or interest in financial data, market signals, and quantitative research workflows.
• Experience with tools such as Docker, CI/CD pipelines, caching, or queuing systems is a strong plus.
• Excellent communication skills in English (both written and spoken).
• Bachelor’s degree in Computer Science, Engineering, or related field.