Quantitative Researcher

Anson McCade Pty; Zürich; On-site; CHF 90,000 - 120,000; Full time

Job summary

Anson McCade Pty is seeking a Quantitative Researcher (Junior/Entry Level) for a systematic hedge fund. You will work across the full strategy lifecycle from data preprocessing to implementation and monitoring.

The role suits graduates with strong mathematics/ statistics backgrounds, and coding skills in Python, C++, Java or MATLAB, with a collaborative team environment and exposure to trading strategies.

Qualifications

• Master's or PhD in a numerate field such as Mathematics, Physics, Computer Science, or Engineering.
• Excellent coding ability in at least one language; proficient in Python, C++, Java or MATLAB.
• Experience/knowledge of finance from academic studies, internships or professional work.
• Strong attention to detail and collaborative mindset.

Responsibilities

• Involvement in all aspects of the strategy development from data analysis to backtesting and implementation.
• Use quantitative methods to analyze market patterns and trends and apply statistical modelling or machine learning to identify opportunities.
• Collaborate with other researchers, developers and traders to collect data and optimize strategies.

Skills

Statistical analysis

Machine learning

Team collaboration

Problem solving

Education

Master's or PhD in Mathematics/Physics/CS/Engineering

Tools

Python

C++

Java

MATLAB

Job description

Quantitative Researcher (Junior/Entry Level) - Systematic/Quant Hedge Fund

My client is systematic hedge fund with offices globally. Their teams trade all liquid markets and cover a mix of HFT, Stat Arb/Mid-Frequency, Quant Macro, and Event-Driven strategies. The firm is looking for graduate or junior-level Quantitative Researchers to cover the full strategy lifecycle, from data pre-processing through to implementation and monitoring, in collaboration with other Quantitative Researchers, Developers and Traders. This is an excellent opportunity for PhD and Master’s level graduates with a background in mathematics, statistics, or a related STEM field. Successful candidates will work in a collaborative environment where they will cover the full strategy pipeline from initial data analysis/cleaning to implementing and monitoring strategies.

The Role:

• Involvement in all aspects of the strategy development process, from research based on large datasets to the creation, backtesting and implementation of strategies.
• You will use quantitative methods to conduct in-depth analysis of market patterns and trends. You will use methods such as statistical modelling and machine learning techniques to identify tradeable opportunities.
• This is a collaborative environment where you will work with other quantitative researchers to collect data, discuss research, and optimise systematic trading strategies.

Requirements:

• The ideal candidate will have a Master's or PhD in a numerate field of study, such as Mathematics, Physics, Computer Science, or Engineering.
• Excellent coding ability in at least one language. Previous successful candidates are proficient users of Python, C++, Java, MATLAB, etc.
• Experience/knowledge of finance from academic studies, internships or professional work.
• Strong attention to detail, excellent problem-solving abilities, and the ability to work well in a collaborative environment.