PhD Graduate Quantitative Researcher

Flow Traders
Amsterdam, Netherlands

Who this role is best for

Geared toward candidates with a PhD in quantitative fields comfortable with deploying models in live financial markets.

Best fit for

  • PhD holders in mathematics or physics with a passion for financial modeling and live trading systems
    — “A PhD degree in Mathematics, Physics, Computer Science or a related quantitative field.”
  • Individuals skilled in translating abstract quantitative problems into practical trading strategies
    — “passionate about translating challenging quantitative problems into equations and models”
  • Candidates with strong coding skills who can optimize models using advanced computational techniques
    — “Proficiency in implementing models and algorithms in programming languages such as Python or C++.”

Things to consider

  • The role requires a high level of autonomy in solving ambiguous, open-ended problems
    — “the ability to work independently on open-ended, ambiguous problems.”
  • Candidates should be prepared for a culture that prioritizes collaboration and non-hierarchical dynamics
    — “collaborative, non‑hierarchical culture”

How to stand out

  • Highlight experience in deploying models in live environments, not just theoretical research
    — “Design, build, optimize, and deploy state-of-the-art models and algorithms for systematic trading.”
  • Emphasize your ability to work with traders and technologists in a cross-functional setting
    — “Collaborate with traders and technologists to bring models from research into live production.”
  • Demonstrate a track record of refining models based on real-world performance data
    — “Monitor and refine existing models based on live market performance.”
  • Showcase your expertise in statistical and linear algebra concepts through concrete examples
    — “Strong statistical and linear algebra knowledge.”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • developed and deployed successful trading models
  • optimized existing models for better performance
Typical background
PhD in Mathematics, Physics, Computer Sciencequantitative finance experience

Skills & requirements

Required

Quantitative ResearchStatistical ModelingAlgorithmic TradingMachine Learning

Preferred

Deep LearningFinancial Markets

Stack & domain

PythonC++

About the role

Original posting from Flow Traders via Greenhouse

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.

Source: Flow Traders careers (Greenhouse)

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