Scrum Developer
vor 3 Wochen
An innovative bank of choice for private and institutional clients, our independently owned Firm is one of the best-capitalised banking groups in the world, managing close to CHF 300 billion and operating from over 25 offices across 4 continents.
With a history spanning over 225 years, Lombard Odier is an investment house providing a comprehensive offering of discretionary and advisory portfolio management, wealth services and custody. We also offer asset management services and investment strategies through Lombard Odier Investment Managers and provide advanced banking technology to other financial institutions.
“Rethink Everything” is our philosophy – it is at the heart of everything we do. Internship - Developer AI in detection of new transaction patterns in Tax Reporting – (6 months)
The members of this team provide our Operational teams with products producing Tax reports for the clients of the Bank. The goal of this internship is to use AI models to detect new financial transaction patterns sourced from the front office in order to assess the accuracy of their fiscal treatment. This control would replace the manual analysis done by our data engineer once a year.
To acquire a good understanding of the bank requirements in terms of tax reporting and the current pain points in term of quality control that the team and its users are experiencing.
To experiment with artificial intelligence (AI) models to select the most appropriate one and to integrate it within the existing process which is sourcing the financial transactions.
Follow Agile(Scrum) methodology.
Graduated (or currently pursuing a degree) in Data Science, Computer Science, Mathematics or a related field.
Proficiency in commonly used libraries for AI and Machine Learning.
Knowledge of Java and SQL.
Fluent in French;
We firmly believe that building Diverse Teams contributes to our successes and to deliver on this, we actively embed Diversity, Equity and Inclusion in our business strategy.
It is an exciting time to join our Teams.
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