Company description
Meritis is a consulting firm specialising in the digital transformation of organisations, founded in 2007 by Sébastien Videment.
Initially based in Paris, it has expanded across the regions and now has a presence in the largest cities in France: Sophia-Antipolis, Montpellier, Nantes, Bordeaux, Lyon, Aix-en-Provence, Lille and, since 2023, Lisbon in Portugal.
Our experts support clients from various sectors with all of their digital transformation needs across many areas of expertise: Finance, Software Engineering, Cloud & Infrastructure, Data, Digital Transformation and Cybersecurity.
Guided by its values of rigour, humility, kindness and closeness, the firm, with more than 900 employees, has been named to the Great Place To Work® ranking 5 times. It is experiencing very strong growth and aims to reach €100M in revenue in 2024 and to surpass the symbolic milestone of 1,000 employees.
We take pride in staying close to our employees and supporting them individually, whatever their role in the company. Certified by Great Place To Work since 2013, our approach to workplace well-being goes well beyond a simple label; our employees speak about it best: https://www.glassdoor.fr/Avis/Meritis-Avis-E1163008.htm
Job description
Within a team dedicated to risk and valuation, you will take part in the design and implementation of a monitoring service for the risk calculation chains related to portfolios managed by trading teams.
The project takes place in an advanced, collaborative technology environment, in direct interaction with the IT, quantitative research and Front Office teams.
The missions include in particular:
- Designing and developing a service for tracking and supervising risk calculations;
- Taking part in the development of an internal cloud platform (such as JupyterHub) used daily by the Front Office teams;
- Gathering user requirements, proposing functional improvements and implementing new features;
- Contributing to the performance, stability and reliability of the platform;
- Providing technical support and guiding internal users in getting to grips with the tools.
- This internship offers complete exposure to risk calculation challenges and cloud technology in a market environment, within a dynamic and innovative organisation.
Qualifications
- Student in an engineering school or university programme (Bac +5) with a specialisation in computer science, quantitative finance or data engineering;
- Good command of Python and interest in software development oriented towards infrastructure, data and cloud;
- Knowledge of or curiosity about code infrastructure, optimisation and distributed architectures;
- Appetite for risk calculation, valuation and financial platform challenges;
- Good algorithmic skills.
- Analytical mindset, rigour, autonomy and ability to work in a collaborative context (interactions with IT, quants and trading).
- English B2/C1
Additional information
- Tailored career paths (career development, adapted training, mentoring…);
- The choice of your assignment and personalised support throughout your career;
- Work in an environment that promotes learning: certified training, e-learning, meetups, coding competitions, career development paths etc;
- Be part of expert communities that share their knowledge and experience within our competence centres;
- A friendly environment with many social events (annual party, seminars & team building, lunches and afterworks…);
Your differences are our strengths. That is why Meritis is committed to diversity and non-discrimination. All of our roles are accessible to people with disabilities. If you have a question or believe you are a victim or witness of discrimination, you can contact [email protected] .