About
ATAfrica is a FinTech company focused on developing innovative financial technology solutions through user-centred design, advanced technologies and artificial intelligence. The company is working to advance the WealthTech industry in Nigeria, particularly in investment and trading.
Job Description
ATAfrica is seeking a Research Data Scientist Graduate Trainee to support its interdisciplinary research teams in developing innovative data science solutions, with a focus on quantitative finance in Africa.
The successful candidate will contribute to research projects, develop machine learning models and statistical techniques, and share findings through academic publications and professional conferences.
Key Responsibilities
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Collaborate with interdisciplinary research teams on data science projects, contributing to the advancement of quantitative finance in Africa.
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Develop and implement machine learning algorithms, statistical models and data analysis techniques.
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Publish research findings in reputable peer-reviewed journals and present at conferences and workshops.
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Participate in advanced courses, seminars and workshops on emerging data science research.
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Mentor and work with junior researchers, graduate students and interns.
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Stay informed about new developments and research trends in data science and related fields.
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Contribute to a collaborative work environment through active participation in team meetings and discussions.
Qualifications & Requirements
Interested applicants must possess the following:
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A Master’s or PhD degree in Data Science, Computer Science, Statistics, Mathematics or a related discipline.
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A strong research background and experience in data science, machine learning or a related field.
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Proficiency in at least one programming language, such as Python or R.
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Practical experience developing and implementing machine learning algorithms and statistical models.
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A record of publications in peer-reviewed journals or conference proceedings is an added advantage.
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Strong communication and presentation skills.
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Ability to work independently and collaboratively as part of a research team.
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Genuine interest in FinTech and WealthTech, particularly investment and trading.
How to Apply
Interested applicants should apply by clicking the APPLY NOW button