Junior Quantitative Researcher

il y a 2 jours

Eu, France Toogeza Temps plein

We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones.

Currently, we are looking for a **Junior Quantitative Researcher**for **Machine Factor Technologies.**

**About the client**:
**Machine Factor Technologies** is a regulated, market-neutral, multi-strategy algorithmic trading fund operating in the digital assets space. We trade across both CeFi and DeFi markets—spot and futures—leveraging a blend of traditional finance rigor and cutting-edge crypto innovation.

**Role Summary**:
As a Junior Quantitative Researcher, you’ll partner with our investment team to develop and evaluate crypto‐focused quantitative strategies. You’ll analyze latency‐optimization logs, back-test models in live environments, and deliver data-driven feedback to refine our trading signals. This role is modelled on Citadel’s Quantitative Researcher framework, emphasizing rigorous research, statistical analysis, and rapid implementation of algorithms into code.

**Key Responsibilities**:

- Conduct quantitative research on crypto markets and evaluate strategy performance.
- Analyze large datasets and latency logs to identify bottlenecks and optimize trade execution.
- Conceptualize and continuously refine mathematical models; translate algorithms into production-ready Python/Pandas code.
- Back-test and implement trading signals in a live environment, monitoring real-time performance.
- Collaborate with traders, engineers, and data teams to integrate findings and improve strategy robustness.

**Skills & Preferred Qualifications**:

- 1-3 years’ experience in computer science, machine learning, or a similarly quantitative field.
- Deep proficiency in Python and Pandas for data manipulation and analysis.
- Strong foundation in statistics and mathematics (e.g., probability, time-series analysis, hypothesis testing).
- Prior exposure to data-driven research or ML model development.
- STEM background (e.g., CS, Math, Engineering) is preferred.
- Knowledge of finance or digital-asset markets is appreciated but not required.
- Familiarity with unconventional data sources, version control, and automated testing frameworks.

**Compensation & Benefits**:

- Discretionary year-end trading bonus.
- Opportunities for professional growth in an innovative trading environment.

**Interview Process**:

- HR Screening: 30-minute introductory call
- Take-Home Test: Quantitative and coding task (3-5 days’ turnaround).
- Technical Interview: 1-2 hour deep dive into your research, coding, and statistical approach.
- Culture Fit Interview: 1 hour with Senior Team Members to assess collaboration style and values.

**What’s next?**

If this role sounds like a fit — we’d love to hear from you Just send over your CV and anything else you’d like us to consider.

We’ll review everything within **five working days**, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.

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