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Qube Research & Technologies
Posted 52 months ago
Quantitative Researcher
MumbaiOn-siteFull-time
AI Summary
Leads the research-to-production cycle for quantitative signals, analyzing large datasets, developing predictive models, and deploying them on the global execution platform. Communicates results with researchers and traders.
About this role
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 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 to achieve a healthy work-life balance.
Skills
BacktestingC++Cloud ComputingData ExplorationData PipelinesDistributed ComputingMachine LearningMatlabModel MonitoringNLPPythonRResearch MethodologySignal ProcessingSQLStatistical ModelingTime-series AnalysisVersion Control
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