Quantitative Researcher

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.

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.

• Develop Predictive Models – Design, implement and refine mathematical models for time-varying stochastic processes and decision-making under uncertainty.
• Quantitative Trading and Risk Management – Back-test, refine and deploy systematic trading strategies for shipping derivatives, ensuring robust performance and risk assessments throughout.
• Drive Research Initiatives – Lead and initiate core research projects, exploring innovative methodologies to identify novel alpha-generating strategies.
• Collaborate with Domain Experts – Partner closely with data scientists, software engineers and shipping industry experts across the Signal Group and its partners.

• An advanced degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or a related field.
• Experience working in a data-driven research environment.
• Excellent problem-solving skills, intellectual curiosity and a continuous commitment to questioning the status quo.
• Experience in software development and converting research ideas to code with proficiency in Python or C++.
• Comfortable in fast-paced, startup-like environments – motivated by personal growth, autonomy and immediate impact.

• Previous startup or team-lead experience.
• Trading or commodity background
• Experience with shipping derivatives.

What we offer:

• Opportunity to work alongside experienced people with deep knowledge in software engineering, data science and the shipping business who are always eager to learn and mentor.
• Join a tight-knit team where your ideas matter and directly influence business outcomes and strategic direction.
• Enjoy a flexible schedule with remote-work options, and regular in-office days to build relationships and alignment.
• 2-4 weeks of onboarding training to prepare you for your new role
• Personal learning budget for training, seminars, conferences.
• Compensation structure made up of base salary, performance bonus and equity --- ideal for someone who sees the upside in building something early.

Ready to shape the future of shipping technology? Then go ahead and apply here!

Strict adherence to Confidentiality, Intellectual Property and Non-Compete provisions is expected.

All applications will be considered under the terms and conditions of confidentiality in accordance with the regulations of personal data protection.

We are an Equal Opportunity Employer committed to diversity and inclusion in the workplace. At Signal, we believe that diversity of opinions, approaches and viewpoints is key to our innovation and success and we encourage that with our hiring, development and rewards practices. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristics by law and take actions to eliminate those from our workplace.