Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

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

• Direct experience as a quant researcher or trader, or in data science/machine learning space.
• Students and fresh graduate applicants will be rejected, please apply our internship/graduate positions instead.
• 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
• Strong capacity to communicate with technologists, data scientists and traders across the globe
• Proven track record in delivering successful systematic strategies

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance. 

Senior Battery Cell Modeling Scientist - Simulation

Responsibilities

• Responsible for building cell mathematical simulation models (physical models and data-driven models) to predict the performance of Li-ion batteries/Li-metal batteries under various working conditions, including dynamic performance, lifetime decay, electrochemical and thermal response, and safety-related cell behavior

• Design and advance experiments to obtain parameters/data required to build cell models

• Work with cross-functional teams to develop, deploy, test, and maintain models

• The electrochemical/thermal data of the cell under different working conditions are generated by using the certified physical model of the cell to provide data support for the establishment of the data-driven model

• Establish a standardized process for cell physical modeling to reduce the resources/time required for modeling

• Provide documentation related to model and algorithm development

• Work with the battery team to determine and achieve battery performance life goals

Qualifications

• Master’s degree or above, more than 5 years of battery related research/work experience

• Basic knowledge of cell electrochemistry (P2D), thermal, mechanical modeling and simulation. Familiar with electrochemical principle, simulation parameter measurement method and corresponding equipment

• Familiar with various battery-related models/algorithms, and have experience in using cell model software (COMSOL, Ansys, PyBaMM, etc.)

• Experience in building data-driven models (statistical analysis, machine learning, AI)

• Proficient in code development tools, such as Python or Matlab