Quantitative Research Analyst

Key Skills

Algorithms, C++, Data Analysis, Data Mining, Design, Python Programming

Job Description

Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks experienced Quantitative Research Analysts.

As a member of one of Tower’s trading teams, a Quantitative Research Analyst will be using Tower’s in-house trading system—one of the fastest and most comprehensive in the world—to develop and deploy algorithmic trading strategies based on patterns in market behaviour.

Responsibilities

• Designing, implementing, and deploying trading algorithms
• Exploring trading ideas by analysing market data, market micro-structure and alternate data for patterns
• Creating tools to analyse data for patterns
• Contributing to libraries of analytical computations to support market data analysis and trading
• Developing, augmenting, and calibrating exchange simulators

Qualifications

• A Bachelors, Masters or PhD degree from a top-tier university in Mathematics, Statistics, Computer Science, or equivalent STEM degree
• Experience in high-frequency trading or quantitative trading is preferred but not a requirement
• A strong background in mathematics and statistics
• Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis)
• Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data
• Familiarity with signal generation and statistical models
• Strong programming skills in Python or C++

Benefits

Tower’s office is located in the heart of London’s financial district, and is easily accessible by public transport links. While we work hard, Tower’s cubicle-free workplace, jeans-clad workforce, and well-stocked kitchens reflect the premium the firm places on quality of life. Benefits include:

• Competitive salary and discretionary bonuses
• 5 weeks of paid holiday per year plus bank and public holidays
• Free breakfast, lunch, and snacks on a daily basis
• Pension, medical and dental, group life and income protection schemes
• Reimbursement for health and wellness expenses
• Free events and workshops
• Donation matching program