FAQs
What is the primary role of a Data Scientist in the Digital Trading team at SEFE?
The primary role of a Data Scientist in the Digital Trading team at SEFE is to leverage expertise in Large Language Models (LLMs) to analyze and interpret extensive time series data, identify trends and patterns, and refine trading strategies to enhance the automated trading infrastructure.
What are the main responsibilities of this position?
Main responsibilities include conducting data analysis and generating insights from large time series datasets, developing and maintaining databases and data pipelines, conducting research and development to improve trading decisions, creating visualizations and reports, developing statistical models and algorithms, monitoring trading strategies, and applying market knowledge to enhance outcomes.
What technical skills are required for this Data Scientist position?
Required technical skills include proficiency in Python, experience with LLM frameworks and libraries, and a solid understanding of statistical modeling techniques such as regression and time series analysis.
What kind of educational background is preferred for candidates applying for this role?
Candidates are preferred to have a degree in a STEM field or equivalent experience, along with a solid foundation in data science and machine learning.
Is there any specific industry experience required for this position?
Yes, the ideal candidate should have several years of experience in finance working with financial securities time series and/or professional experience with real LLM projects.
What opportunities for career growth does SEFE offer to Data Scientists?
SEFE offers opportunities for career growth through a blended approach to learning, providing resources to develop knowledge and experience, and fostering a supportive environment for professional development.
What are some benefits provided by SEFE to its employees?
Benefits include a competitive starting salary, bonus earning potential, non-contributory pension, 25 days holiday plus bank holidays and 2 volunteering days, life assurance, medical and dental insurance, and a range of optional flexible benefits.
Does SEFE offer flexible working arrangements for this position?
Yes, SEFE offers hybrid working arrangements, allowing employees to work from home for a portion of the week.
What type of market understanding is advantageous for a Data Scientist in this role?
A basic understanding of trading, ideally in commodities or other markets, is advantageous, along with a willingness to learn and adapt.
How does SEFE view diversity and inclusion in the workplace?
SEFE is committed to creating an inclusive environment that embraces diversity and fosters the development of knowledge, skills, and experience for all employees.