Quantitative Researcher/Trader Stat Arb

Radley James; Greater London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a talented mid-level statistical arbitrage quantitative researcher/trader in London. This exciting role involves designing, developing, and implementing systematic trading strategies, where you will collaborate with experienced professionals. You will engage in alpha research, risk management, and portfolio construction, directly impacting the business's success in US equities intraday trading. The firm offers a competitive base salary with additional bonuses based on performance, making it a fantastic opportunity for those looking to make a mark in the financial services sector.

Qualifications

• Advanced degree in quantitative subjects or PhD required.
• Programming experience in C++, C#, or Python is essential.

Responsibilities

• Design and implement systematic trading strategies.
• Conduct alpha research and manage risk in trading operations.

Skills

Statistical Arbitrage

Programming (C++, C#, Python)

Alpha Research

Risk Management

Portfolio Construction

Data Analysis

Education

Advanced degree in a quantitative subject

PhD in Mathematics, Physics, Computer Science, Engineering

Job description

A leading international systematic trading firm is looking to bring on a talented mid level statistical arbitrage quantitative researcher/trader in London to help in the design, development, and implementation of systematic trading strategies. You’ll be working alongside experienced industry professionals on projects including alpha research, risk management, and portfolio construction, and will have the chance to see the direct impact of your work on the business. This will be US equities intraday trading.

Minimum Requirements:

• Advanced degree in a quantitative subject or PhD (Mathematics, Physics, Computer Science, Engineering etc.).
• Programming experience in one major language (C++, C#, Python etc.).
• Alpha researcher from an equities/stat-arb background.
• Non competes of less than 12 months.
• At least 2 years working within this space.

Desired Skills:

• Prior experience or internships in systematic alpha research is beneficial.
• Prior experience or internships in automated market making is beneficial.
• Experience working with large data sets.

This position will allow you to get a PnL cut for bonuses in addition to a top base salary. Happy to relocate people from around the world!

Seniority Level:

Associate

Employment Type:

Full-time

Job Function:

Finance, Information Technology, and Research

Industries:

Financial Services, IT Services and IT Consulting, and Investment Banking