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Quantitative Researcher

posted by: spj_bot

About Triaina (a Signal Venture):

Maritime transport, representing over 80% of global trade volume, faces substantial operational and financial risks. 

At Triaina, we develop advanced predictive models, leveraging proprietary data to empower bulk-shipping stakeholders with superior decision-making and trading performance.

Signal Ventures, the investment arm of Signal, is a specialized venture capital firm focused on supporting early-stage technology startups and entrepreneurs in the shipping, logistics, mobility, and commodities sectors. With a track record of over 15 investments, 3 incubation projects, and successful exits for notable companies like OilX and nuTonomy, Signal Ventures is at the forefront of the industry.

About the role: 

As a Quantitative Researcher, you’ll drive the full predictive-modeling pipeline – from data acquisition and feature engineering through model training, live deployment and risk management. You’ll shape our quantitative trading infrastructure, developing advanced models for shipping derivatives to support high-stakes decisions with immediate real-world impact.

The ideal candidate combines deep expertise in modeling time-varying stochastic processes and decision-making under uncertainty with an entrepreneurial mindset.

We welcome experienced candidates ready to lead research initiatives, mentor peers, and drive the discovery of new alpha-generating strategies.

Job Skills

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Junior QA Engineer (Remote - Portugal)

posted by: spj_bot

About Jobgether:

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Junior QA Engineer in Portugal.

As a Junior QA Engineer, you will help ensure the quality and performance of advanced AI-powered computer vision systems used in digital healthcare. Working closely with engineering and product teams, you'll validate key technologies that support real-time motion tracking and analysis. Your work will directly impact the accuracy and reliability of features used by thousands of patients worldwide. This is a hands-on, collaborative role that requires both technical skill and a passion for building high-quality, life-changing digital products.

Accountabilities:

  • Develop and maintain QA processes tailored to computer vision components
  • Conduct data acquisition and annotation efforts for model training and validation
  • Validate developments through technical experiments and scripting
  • Collaborate with cross-functional teams to test new features early in the development process
  • Track performance of deployed features and monitor quality post-launch
  • Clearly document and report issues, risks, and test results to stakeholders

Requirements

Job Skills

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