Larion ★ 3.7

Tóm tắt công việc
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.