Quantitative Researcher

Your future role within QRT * Your core objective is to create high quality predictive signals. * By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities. * Share and discuss research results, methodology, data sets and processes with other researchers. * Implement the signals and the relevant datasets within the global execution platform. * Monitor signal behaviour and model performance over time. * You would lead the full strategy research cycle from signal generation to implementation.   Your present skillset * 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 programming 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. * Strong capacity to communicate with technologists, data scientists and traders across the globe. * Proven track record in delivering successful systematic strategies.

We are looking for a Quantitative Researcher who can help us develop alpha through systematic trading strategies. You will work closely with experienced researchers, traders, and a technology team with deep domain expertise. The digital asset space is young, fast-evolving, and filled with innovative sources of alpha and trading opportunities. Key Responsibilities: * Employ a rigorous scientific approach to develop sophisticated investment models and deliver insights into how markets behave * Apply quantitative techniques, like machine learning, to a vast and innovative array of datasets * Create and test complex investment ideas and develop algorithms that lead to trading decisions * Analyze investment model performance and behavior, aiming for constant improvements * Work closely with our team of experienced developers to translate investment models into production code Skill Set and Qualifications: * Educational background in technical field, preferably Mathematics, Statistics, Physics or Theoretical Computer Science * Solid experience in model building, backtesting, parameter optimization routines, execution engine design and performance tracking * Strong analytical skills; experience working with, and analyzing, large datasets * Strong mathematical and statistical modeling skills (e.g. time-series) * Ability to think independently, creatively approach data analysis, and communicate complex ideas clearly * Basic knowledge of the digital asset space is beneficial, but not required * Intermediate programming background in Python and C++ * Fluent English speaker * Ability to travel periodically between our offices in NYC, London and Zug, Switzerland Are you keen to work in a well-resourced startup environment, where your ideas, experience, and drive to find creative solutions makes a difference? We’d like to hear from you. The salary for this role is anticipated to be between $125,000 and $250,000. This anticipated salary range is based on information as of the time this post was created. This role may also be eligible for additional forms of compensation and benefits, such as a discretionary bonus, health, dental and other benefits plans. Actual compensation will be carefully determined based on a number of candidate factors, including their skills, qualifications and experience.