Graduate Quant Trader/Researcher (EMEA) - Hybrid

Tradermath; City of London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading quantitative trading firm in London is hiring a Quantitative Trader/Researcher to develop and deploy algorithmic trading strategies. The ideal candidate will have a Master's or PhD in a relevant field, expertise in Python and C++, and strong problem-solving skills. This firm fosters a collaborative culture emphasizing performance and enjoyment, offering benefits like hybrid work opportunities and wellness programs.

Benefits

Generous paid time off policies

Savings plans and financial wellness tools

Hybrid working opportunities

Free breakfast, lunch, and snacks

In-office wellness experiences

Company-sponsored sports teams

Volunteer opportunities

Workshops and continuous learning opportunities

Qualifications

• Master's and/or PhD in mathematics, statistics, physics, electrical engineering, computer science, data science, financial engineering, or related fields.
• Strong background in Python and C++.
• Strong problem-solving abilities.
• Passion for new technologies and ideas.
• Ability to manage multiple tasks in a fast-paced environment.

Responsibilities

• Design and deploy high or mid-frequency trading algorithms.
• Work with a mentor to enhance trading strategies.
• Analyze market data to explore trading ideas.
• Create tools for data analysis.
• Contribute to libraries for market data and trading support.

Skills

Python

C++

Problem-solving

Data analysis

Education

Master's and/or PhD in relevant fields

Job description

A leading quantitative trading firm in London is hiring a Quantitative Trader/Researcher to develop and deploy algorithmic trading strategies. The ideal candidate will have a Master's or PhD in a relevant field, expertise in Python and C++, and strong problem-solving skills. This firm fosters a collaborative culture emphasizing performance and enjoyment, offering benefits like hybrid work opportunities and wellness programs.