Trading Researcher

Robeco; Rotterdam; Vor Ort; EUR 90.000 - 120.000; Vollzeit

Zusammenfassung

Robeco, a Dutch asset manager based in Rotterdam, seeks a Trading Researcher to strengthen its equity trading desk. You will build market impact models, forecasting models for volume and volatility, and optimize execution strategies using Python, ML, and data analytics; collaborates with traders, brokers and PMs to reduce costs and improve execution quality.

The role focuses on data-driven decision making, advanced quantitative methods, and deploying scalable tools to support trading strategies

Qualifikationen

• Requires a Master’s or PhD in a quantitative field and strong mathematical background.
• Around 3–8 years of relevant professional experience.
• Strong quantitative skillset in statistics, stochastic processes, ML, RL, Bayesian stats, or optimization.
• Proficiency with Python and the Python data stack (pandas, NumPy); familiarity with SQL, PySpark or compiled languages is a plus.

Aufgaben

• Develop market impact models and forecasting models for market volume and volatility.
• Assess performance of execution strategies and optimize execution plans.

Kenntnisse

Python

Pandas

NumPy

Machine learning

Reinforcement learning

Statistics

Optimization

Data analysis

English proficiency

Ausbildung

Master's degree or PhD in quantitative field

Tools

SQL

PySpark

VS Code

Git

Jobbeschreibung

Robeco is looking for a Trading Researcher to strengthen its equity trading desk. Lower cost through data-driven trading decisions. Research, develop and maintain models that assist our traders in achieving the best possible execution for Robeco’s strategies.

• Location: The Netherlands, Rotterdam
• Time type: Full time

Robeco is an institutional asset manager with more than one hundred billion of assets under management for several equity investment strategies. Each investment strategy creates orders that are executed by Robeco’s equity trading desk using execution algorithms serviced by brokers. These algorithms split the order into smaller pieces so that the entire order is executed slowly over, e.g., the course of the day.

The main driver of execution costs is market impact, which is the adverse effect that trading has on the price, i.e., moving the price up when buying and down when selling. Your primary objective is to make our execution decisions data driven, and, thereby, lower market impact cost.

The position

In this role, you will develop market impact models, develop forecasting models for market volume and volatility, assess performance of different execution strategies, and optimize execution strategies. Major challenges include the low signal-to-noise ratio typically encountered in market data, dealing with large data sets, and developing advanced quantitative models.

What you will do

• Interact with our equity traders, brokers, and portfolio managers. This allows you to stay up to date with market developments, changes in market microstructure, and the needs of our investment strategies.
• Apply advanced statistics and data-analytics to analyze our executions post trade.
• Use quantitative methods, including machine learning and optimization, to provide execution recommendations pre-trade.
• Apply stochastic methods and reinforcement learning methods to advise the best course of action during the execution.
• Analyze large datasets with intraday data, and build infrastructure to bring data-driven decision making to our traders.
• Have the latest AI models at your disposal to write clean, reproducible Python code that can be maintained and extended by the broader team, with consistent attention to version control, testing, and documentation.
• Build tools, dashboards, and reports that communicate insights to portfolio managers, traders, investment specialists, and other stakeholders, including colleagues without a quantitative background.

Examples of questions you may work on

• How much market impact do we expect to make for this order?
• Which of our brokers has the best performing VWAP algorithm?
• How can we prevent adverse selection on block-trading venues?
• What is the best execution schedule for this trade?
• What is the best course of action a trader should take at a certain point during the execution?
• How can we leverage AI at the trading desk?

What you bring

• A master’s degree or PhD in a quantitative field such as econometrics, mathematics, data science, computer science, engineering, physics, environmental science or a related discipline.
• Roughly 3-8 years of relevant professional experience. Additionally, strong graduates are also encouraged to apply.
• Strong quantitative skillset. Knowledge of the following domains is a pre: statistics, stochastics, stochastic control, machine learning, reinforcement learning, Bayesian statistics, or optimization.
• Strong programming skills in Python, familiarity with the Python data stack such as pandas and NumPy and understanding of typical data-science workflows: VS code, git version, AI-assisted coding etc. Experience with SQL, PySpark or compiled languages is a pre.
• Affinity with trading and financial markets in general. Knowledge of market microstructure knowledge is helpful, but can also be learned on the job.
• Affinity for IT and technology: deploying infrastructure in Microsoft Azure, and making things work in Robeco’s IT infrastructure is part of the job.
• General research skills: curiosity, sound judgement, a practical mindset, ability to explain complex topics clearly and work effectively with both technical and non-technical colleagues etc.
• Professional proficiency in written and spoken English.

How we think about AI in this role

AI literacy is part of effective data-science work, but it is not a substitute for subject knowledge or quantitative judgement. We are looking for someone who can select appropriate tools, formulate good questions, inspect generated code or text critically and verify results against reliable sources and tests. Experience with AI coding assistants, large language models or automated document analysis is welcome, but deep AI specialization is not required.

About Us

As a Dutch asset manager operating globally, Robeco has always combined the best of both worlds. We have global reach and ambitions, while retaining our head office in our hometown of Rotterdam. Employees at Robeco share that combination: we hire and nurture people who can think internationally and put the client first, while keeping their feet firmly on the ground. We have strong links with academia, which underpin the research in our robust quantitative and sustainability investing strategies. Our people have backgrounds in finance but also in economics and geography. Likewise, as pioneers in emerging markets investing, our diverse backgrounds also add local knowledge. We offer an informal and flexible office atmosphere that gives people the room to be themselves, to grow and to perform to the best of their ability.