Quantitative Developer - Java - Algorithmic Trading - High Frequency Trading

Quantitative Developer - Java - Algorithmic Trading - High Frequency Trading

Excellent opportunity opens for an experienced Quantitative Developer to join a team of experienced quants and algorithmic developers at a leading High-Frequency Trading Firm's London office.

The successful candidate will be involved in a variety of tasks ranging from the analysis of market microstructure and its effects on algorithmic trading to understanding improvements to be made and overseeing the change and roll out of those improvements. This would include making business focused strategy logic changes in our Java code and working with other dev, testing and support teams to roll these changes out to clients. This is a high-visibility role and would suit a quantitative developer with a prior knowledge of equity trading and European market microstructure.

• Perform research on trading outcomes to measure contextual efficacy of various trading strategies.
• Understand and evaluate contribution of various trading tactics to strategic performance outcomes.
• Design models to more effectively use trading tactics to achieve strategic performance and work closely with engineering team to implement the models. Implementing some part of the business logic themselves.
• Work directly with both new and existing clients to explain product behaviour and get feedback on quantitative product performance.
• Work directly with existing clients in an Execution Consulting capacity to help them better use our products and help us build more suitable products for the clients.
• Improve quantitative performance of trading algorithms as measured internally and by clients.
• Increase client engagement by involving them in the data-driven product development process.

Desired Skills & Experience

• Deep intellectual curiosity and passion for data.
• Excellent communication and presentation skills.
• Ability to work globally with the wider team of quants.
• Three years plus experience with the Java programming language and ecosystem, including concurrency, Java 8+, dependency injection, and testing best practices.
• Experience in implementing electronic trading strategies.
• Exposure to distributed systems and message oriented architectures.
• Proven ability to collaborate and succeed in a global team.
• A deep knowledge of the European equities market micro-structure and strategies.
• Demonstrable ability to implement practical applications of quantitative research.
• Strong coding skills, python and/or Java.
• High-frequency trading experience preferred, eg in market making, proprietary, or possibly agency space.
• Experience with large-scale data analysis beneficial.
• Excellent Masters degree or PhD in statistical or related discipline or computing eg statistics, stochastic modelling, machine learning or computer science.

Interested? Please Apply!

Quant Quantitative Developer Java Developer Python Developer Algo Algorithmic Trading Trade Execution Low Latency High Frequency Trading High-frequency trading Equities Equity Trading European Markets Bank Banking LL Financial Services