Company develops and deploys systematic financial strategies across a variety of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on exploiting market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a sustainable, global investment platform.
Technologists at Company research, design, code, test and deploy projects while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually intense. Our teams are lean and agile, which means rapid prototyping of products with immediate user feedback. We seek people who think in code, aspire to solve undiscovered computer science challenges and are motivated by being around like-minded people. In fact, of the 600 employees globally, approximately 500 of them code on a daily basis.
Company’s success is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Great ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess a mindset of continuous improvement. That’s a key ingredient in remaining a leader in any industry.
Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an exceptional talent. There is no roadmap to future success, so we need people who can help us create it. Our collective intelligence will drive us there.
Develop and maintain our data platform, focusing on data pipeline processing.
Build systems that manage large amounts of data efficiently
Facilitate effective quantitative analysis and research, develop utility tools that can further automate the software development, testing and deployment workflow
Develop module processes and technically analyze financial market data
Provide technical support on data related issues, including diagnosing root causes of technical problems and proposing solutions.
Degree in Computer Science, Electrical Engineering or related fields
Minimum of one year of work experience
Good knowledge of data structures and algorithms
Experience with STL or Boost (desirable)
Proactive demeanor and strong communication skills within a global team environment
WHAT'S ON OFFER
Day-off: 15 days (less than 2 years employee); 20 days (more than 2 years)
Health Insurance (AON – person and family)
Bonus: 2 – 4 times salary based on performance.
Company trip: once a year, monthly activities
Tea break, snacks, dinner order
PEGASI – IT Recruitment Consultancy
Email: email@example.com | Tel: +84 28 7109 9077
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!
product, Investment Management
Data, C/C++, Python
Ho Chi Minh, Ha Noi - Viet Nam