Scientific Portfolio (The Team and the Product)
Scientific Portfolio, EDHEC’s newest FinTech venture, is an early-stage project poised to revolutionize how institutional investors manage their financial and ESG and Climate risks. Following the legacy of successful initiatives like the EDHEC Risk Institute and Scientific Infra, Scientific Portfolio aims to transfer academic expertise to industry applications. Join our Paris-based team (with onsite/remote flexibility) and contribute to building a high impact platform set to become a global benchmark in the field.
The Mission
As a Data Engineering Intern, you will join the Product Team under the responsibility of an experienced Product Manager and Data Expert, with the objective to initiate a new function that will oversee Data-related challenges at the overall company level. The Product Team is at the crossroads between Researchers, Developers, and Business development, and constitutes a great learning opportunity.
Your Responsibilities
The Scientific Portfolio platform relies on 3 strategic data sets:
- Raw data acquired from third parties (stock prices, fundamental data, carbon emissions, ESG metrics etc.)
- Processed data created by Scientific Portfolio through a weekly batch (risk metrics, diversification metrics, impact metrics, climate metrics etc.)
- Business analytics generated by automated processes as well as live platform users (API calls, response times, etc.)
You will be responsible for exploiting these strategic data sets with the objective to:
- Ensure the quality of the data consumed by the Scientific Portfolio platform (raw data) as well as the quality of the data produced by it (processed data).
- Execute and maintain de platform’s data checking and anomaly detection algorithms to ensure a high data quality level while keeping manual interventions to a minimum.
- Monitor usage and platform performances based on activity logs.
- Provide support to Client Services in the resolution of technical issues raised by platform users.
Your Profile
The ideal candidate:
- Has a Master-level degree.
- Is passionate about data analysis, data science (anomaly detection), and data visualisation.
- Has knowledge of the principles of efficient data management.
- Has worked on serious projects in Python programming applied to data analysis and data visualisation with an emphasis on financial data.
- Shows the responsiveness, flexibility and team spirit required to deliver great client service to demanding institutional users of a technology platform.
- Has strong organizational and project management skills.
- Can demonstrate solid verbal and written English communication skills.
Bonus:
- Previous projects with financial applications or FinTech, particularly in handling time series, stocks/funds/ETFs data, and risk models.
The Benefits of Working with Us
- Evolution into a permanent position in Paris and then in Singapore
- Competitive salary based on qualifications and experience, aligned with the Scientific Portfolio pay scale.
- Flexible work arrangements with the option for remote work.
- Opportunity to be part of a pioneering project with significant growth potential.
- Collaborative and innovative work environment.
The Interview Process
- Submit your application to < email deleted for security reasons >. (No visa sponsorship available)
- Initial screening of applications.
- Technical interview to assess your coding skills and experience.
- Interview with the project leader to discuss your potential contribution to Scientific Portfolio.
Join us at Scientific Portfolio and help shape the future of financial and ESG risk management for institutional investors.