Machine Learning Engineer

We are seeking an exceptional individual to join the firm as a Machine Learning Engineer. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets.

Machine Learning Engineers will design, code and implement complex proprietary pipelines, models, and tools to drive our forecast business.

You will collaborate with researchers and PMs to gather, analyze and spec out requirements, develop/test code, and manage product deliverables.

A successful candidate will help build the software that will be used by Portfolio Managers to construct portfolios.

M.Sc./Ph.D. from a leading university in a Computer Science, Engineering, or related discipline

Experience designing and operating complex machine-learning models and data pipelines

Experience building distributed or data-intensive systems

Excellent problem-solving abilities, insight, and judgment as well as strong attention to detail

Experience programming production systems in Python or C++

Experience working in Linux environments

Strong communication skills; ability to express complex concepts in simple terms

Understanding basic probability, statistical inference, software solvers, and mathematical optimization is a big plus

Experience building CI/CD pipelines is a big plus

Competitive and attractive compensation package with a clear career road-map – where you feel challenged every day

We offer a strong culture of learning and development: training courses, library, speakers, share and learn events

Learn from who sits next to you! Working in our client's environment, you are surrounded by smart and talented people

Employee resources groups with strong diversity and inclusion culture

Premium Health Insurance and Employee Assistance Program

Generous time-off policy, unlimited sick days, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family

Team building activities every month: Local engagement events, monthly team lunches – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.

Annual company trips and occasional global conferences – the opportunity to travel and connect with our global teams

Happy hour with tea breaks, snacks, and meals every day in the office!

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666