Senior QA Engineer (AI Asset Mgmt Team)
Bangkok
Sertis
Sertis | Unlock the full potential of your data with cutting-edge AI and Big Data solutions, tailored to drive growth and innovation across multiple industries, brought to you by Thailand's leading AI solutions providerSertis AI Asset Management
We are a world-class team that aims to be the global leader in quantitative and AI asset management. Leveraging our proprietary alpha engine, we provide investment products to some of the largest companies in the finance industry - come and join us as a Software Engineer and be a part of something exceptional.
We are looking for a Senior QA Engineer, eager to work with our small but elite engineering team to build the software systems running and fueling our state-of-the-art trading strategies.
What are the responsibilities of a Senior QA Engineer?
In this role, you will get to:
- Work closely with developers and other QA engineers to ensure the robustness of our trading systems and internal tools
- Review requirements, specifications, and technical design documents to provide timely and meaningful feedback
- Create detailed, comprehensive, and well-structured test plans and test cases
- Estimate, prioritize, plan, and coordinate testing activities
- Design, develop, and execute automation scripts
- Identify, record, document, and trace bugs
- Develop and apply testing processes for new and existing software
- Staying up-to-date with new testing tools and strategies
Requirements for this role are:
- 4+ years of working experience as a QA engineer (or in a similar role)
- Thorough understanding of state-of-the-art QA methodologies and tools
- Experience working with test automation frameworks, e.g. Robot Framework
- General understanding of web-based applications
- Ability to read, understand and write code (e.g. Python)
- Familiarity with the full Software Development Life Cycle (SDLC) from preliminary system analysis to tests and deployment
- Good interpersonal skills and ability to communicate in English
- An interest in fintech and trading
Nice to have:
- Experience working in cloud environments such as AWS, Azure, or Google Cloud
- Experience working in (algorithmic) trading and interacting with stock/cryptocurrency exchanges using different protocols
- Experience working with (trading) equities and or cryptocurrencies
- Experience working with Research Teams, Data Scientists, and AI models
What you are like:
- Strong interest and passion to learn about trading, equities, and cryptocurrency
- Self-motivated, self-aware, self-disciplined, and self-improving
- A true leader, is independent, but also picks up the trash
- Able to share, suggest and challenge ideas
- Able to embrace and overcome challenges in an industry that never sleeps
- Able to go above and beyond to get the job done
What are some of the benefits of working in the AI Asset Management team?
- We have a high-performance team culture that is also focused on personal growth and development. We provide direction and context, not orders, and give you the autonomy to deliver your best work
- You will get to work with and learn from the best in the industry, and share your ideas with like-minded individuals who are also passionate about all things equities, crypto, trading, and tech
- You will have the opportunity to take ownership of a key part of the business and make a positive impact on the company from day one
- We are a bonus-centric company where great performance is matched with great rewards
- Because we cultivate intelligence and learning we help people grow beyond their potential
Our team has a proven track record of not only building world-class quantitative trading software but also of building an awesome work environment and team culture. Join us as we disrupt the finance space on a global scale.
APPLY NOW!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Crypto Engineering Finance FinTech GCP Google Cloud Python Research SDLC Testing Trading Strategies
Perks/benefits: Career development Startup environment Team events
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