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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 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)

  • Strong understanding of software quality principles and processes

  • Test automation experience

  • Solid experience with one or more programming languages (Python, JavaScript, Java, C++ etc. )

  • 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.

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Senior Quality Engineer

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AI Asset Management | Senior Level | Full-time

Benefits & Perks

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Hybrid Work

Good work can be done from anywhere. 

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Vacation and Personal Leave

We encourage all our teams to take time off, recharge and refocus.

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Learning Support

We support you to learn, explore and grow your creativity.

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Fitness Support

Keeping Sertizens healthy in all areas of life is a priority.

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Referral Bonus

Good people know good people! 

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Provident Fund

It's important to think about the future. 

Be a part of

AI Asset
Management

team

“ Revolutionize asset management with AI Innovation ”

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5 steps for
interview

*Steps will vary depending on department
*Most if not all interviews may be conducted virtually

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