- 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
- 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 and/or C++
- 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
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Quantitative Trader - Amsterdam, Nederland - Tower Research Capital
Beschrijving
ResponsibilitiesQualifications
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:
