Candidates

Leading New York Hedge Fund with over $20bn AUM. Due To the success of the fund we are helping them in finding Senior Quantitative Developers across multiple asset classes.

Role/Responsibilities:

-Building a robust, scalable research infrastructure, including alpha estimation and risk modeling components
-Developing a seamless but modular platform to handle all aspects of quant trading – model building, optimization, and trade execution
-Building high-performance/low-latency modular systems for live trading and simulation
-Developing robust data checking, transformation and storage procedures
-Building visualization tools and monitors for market/trade/position/risk

Requirements:

-Understanding of object oriented programming, design patterns, data structures and dependency graphs
-Experience with the software delivery lifecycle and production deployment
-Fluency in Python (and its ecosystem) for data analytics, research and production usage
-Experience with C++ (plus)
-Experience working with streaming and historical time series data, including a variety of messaging systems and databases
-Experience developing distributed backtesting, simulation, and real time system

Global Hedge Fund with over $13bn AUM & 350 staff globally. Looking for experienced Quantitative Developers to join a growing team in London & New York.

Role/Responsibilities

• Your core objective is to deliver high quality systematic strategies in production.
• Monitor continuous trading, strategy performance and all relevant risks.
• Implement signals and relevant datasets within the global execution platform.
• Leverage your trading and market expertise by sharing production results, methodology, data sets and processes with other traders and researchers.
• Monitor signal behaviour and performance of execution platform over time.
• You would lead the full strategy trading cycle from risk calibration to trade executions.

Requirements:

• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
• Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#).
• Experience in exploring large datasets across multiple time frames is a plus.
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
• Capacity to work with autonomy within a collegial and collaborative environment.
• Trading expertise and market knowledge which can be leveraged in the systematic space.
• Strong capacity to communicate with technologists, data scientists and traders across the globe.
• Proven track record in delivering successful systematic strategies.