Enriching a wide range of structured and unstructured data into datasets for quantitative analysis and financial engineering
Enhancing data quality & integrity by developing validation tools to measure the effectiveness of data enrichment
Becoming a domain expert on different deep learning and machine earning applications, analyzing & understanding the underlying dynamics and behaviors within the data
Develop insights based on the data and collaborate with the research team to generate signals
Developing the utility tools that can further automate the software development, testing and deployment workflow
Job Requirement
Strong academic background - minimum of a bachelor's degree in a technical or quantitative field
Practical experience with and understanding of deep neural networks and other machine learning techniques
Demonstrated ability to implement data science pipelines and real-time applications in Python (C++ is a plus)
3+ years of relevant experience as a Data Engineer or similar roles
Proficiency with Python based tools like Jupyter Notebook, coding standards like pep8
Proficiency with C++ based tools like STL, object oriented programming in C++ is a plus
Exceptional analytical & problem solving abilities, with a strong attention to detail
Good command of English
Excellent software development skills: ability to convert rough overall use-cases to a working codebase
Motivated by a deep curiosity and passion to learn is a plus
Past experience as a data scientist or data engineer in finance or investment profile is a plus
Experience with Linux/Unix shell and Git is a plus
What's on offer
Competitive and attractive compensation package with clear career road-map - where you feel challenged everyday
We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
Learn from who sits next to you! Working in Company you are surrounded by smart and talented people
Employee resources groups with strong diversity and inclusion culture
Premium Health Insurance and Employee Assistance Program
Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
Team building activities every month: Local engagement events, monthly team lunch
Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
Annual company trip and occasional global conferences - opportunity to travel and connect with our global teams
Happy-hour with tea break, snacks and meals every day in the office!
