Flow TradersPhD Graduate Quantitative Researcher
Flow Traders is hiring a PhD Graduate Quantitative Researcher in Amsterdam, Netherlands. Level rates it ; you can apply on Level.
AI in this role
Design, build, and deploy systematic trading models and algorithms using machine learning and quantitative techniques.
Flow Traders is looking for a PhD Graduate Quantitative Researcher to join the quantitative trading team at our Amsterdam office. This is a unique opportunity to join a leading proprietary trading firm, working alongside some of the brightest minds in the industry. As a firm, we are committed to leveraging advances in computer science, statistics, and machine learning to generate value in the financial markets.
A successful Quantitative Researcher is an expert in mathematics and statistics, passionate about translating challenging quantitative problems into equations and models, and skilled at optimizing them using cutting-edge computational techniques. If you're at the top of your quantitative, modeling, and coding game, and excited to test these skills in competitive live markets, this opportunity is for you.
What you will do
- Design, build, optimize, and deploy state-of-the-art models and algorithms for systematic trading.
- Analyze large datasets to identify patterns and signals that can be translated into trading strategies.
- Collaborate with traders and technologists to bring models from research into live production.
- Monitor and refine existing models based on live market performance.
What you need to succeed
- A PhD degree in Mathematics, Physics, Computer Science or a related quantitative field.
- Strong statistical and linear algebra knowledge.
- Proficiency in implementing models and algorithms in programming languages such as Python or C++.
- Experience in Deep Learning is a plus.
- Strong analytical and problem-solving skills, with the ability to work independently on open-ended, ambiguous problems.
- Ownership and entrepreneurship.
What we offer
At Flow Traders, we create the conditions for hard‑working, high‑performing people to do their best work. From a thorough onboarding and ongoing access to Flow Academy, to latest technology and a collaborative, non‑hierarchical culture, we give you the tools, ownership, and support to move fast and drive outcomes. We keep a close‑knit, small‑company feel while offering competitive salary, annual discretionary profit share, and comprehensive benefits, so talent can grow here, and stay here. See our benefits below:
- Flow Academy and opportunities to attend domain-related conferences
- Daily catered lunch, great coffee, and a fully stocked kitchen and snack bar
- In-house Bar and Lounge with arcade, table tennis, billiards, and game consoles
- Company boat
- In-house gym and sessions with our nutritionist or personal trainer
- Bi-weekly massages
- Annual company trip and a variety of events throughout the year, such as the New Years Event
- Global rotations across our offices worldwide
- and more
Flow Traders does not accept unsolicited resumes from any professional staffing or search firms. All resumes, and any other information identifying potential candidates, submitted to any employee at Flow Traders via-email, the Internet or directly without a valid and signed search agreement will be deemed free to contact by Flow Traders without any restrictions and no placement fee of any kind will be paid in the event the candidate is hired by Flow Traders.
How we rate this
PhD Graduate Quantitative Researcher at Flow Traders rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where quantitative research was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where deep learning was part of your work. What did you do?
- Tell me about a project where algorithmic trading was part of your work. What did you do?
- Tell me about a project where mathematical modeling was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Quantitative Research, Machine learning, Deep learning, Algorithmic Trading, and Mathematical Modeling. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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