Quantitative Researcher

Signal Group; Zürich; Hybrid; CHF 100’000 - 130’000; Vollzeit

Zusammenfassung

A leading company in shipping technology seeks a Quantitative Researcher to drive innovative modeling and risk management. This role involves developing predictive models and leading research initiatives, working closely with experts across various fields. The ideal candidate brings an advanced degree and software proficiency, thriving in a fast-paced, impactful environment.

Leistungen

Flexible schedule with remote options

Personal learning budget for training

Base salary, performance bonus, and equity

2-4 weeks of onboarding training

Qualifikationen

• Advanced degree required in a related field.
• Experience in data-driven research environments.
• Strong software development skills with Python or C++.

Aufgaben

• Develop predictive models for time-varying stochastic processes.
• Back-test and deploy systematic trading strategies.
• Lead core research initiatives for new alpha-generating strategies.

Kenntnisse

Problem-solving

Intellectual curiosity

Software development

Mathematical modeling

Ausbildung

Advanced degree in Computer Science, Statistics, Mathematics, Physics, Engineering

Tools

Python

C++

Jobbeschreibung

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.

What You’ll Do :

• 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.

Requirements

What You Bring to the Team :

• 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.

Bonus Points

• 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!