Description du poste
About Opensee
Opensee is an AI-powered data solution for financial institutions, providing interactive data quality, aggregation, analytics, and reporting.
Our platform enables banks, hedge funds, and asset managers to interactively explore and analyze massive datasets swiftly and precisely.
With Agensee, our Agentic AI solution, users can engage with their data in real time using natural language, whether within the Opensee platform or as a standalone AI layer on their existing infrastructure.
By unlocking instant insights, automation, and scalable analytics, Opensee transforms decision-making and operational efficiency for the financial industry.
Headquartered in Paris, with offices in London, Frankfurt, New York, and Singapore, we are proud to work with a trusted client base across banks, hedge funds, and asset managers.
About us
A culture of collaboration : At Opensee, you’ll work in an open and supportive team.
Team spirit and innovation: Work in a diverse environment where innovation and creativity are highly valued.
A growth-oriented environment: Benefit from a wealth of development opportunities as we constantly seek new talents to join us, and support our growth.
Develop expertise in one of the most advanced solutions for risk aggregations.
What are you going to do?
You will join the Solution team and report to a Business Solution Lead.
The Solution team in Opensee has the following key objectives:
Support the pre-sales effort: frame and define new user story/demo, product presentation and related materials, create or refine the history of data required for the demos, calculation or models, Proof-of-Concept, or gap analysis
Manage the product roadmap for new use cases or features, as well as their implementation in terms of data model, financial metrics, or user interfaces
As a business solution engineer intern, you will:
Master all technical aspects of the Opensee platform: general system architecture, system deployment, data models & data ingestion, python calculators
Gain knowledge on the business stakes for the risks in the banking book and understand the pain points and expectations (both from business discussions and regulatory requirements), in priority related to Liquidity, ALMT and credit risk challenges.
Assess, Design and implement a new use case : data definition and specification, data model, data generation, data ingestion, metrics implementation, performance tuning, user interface configuration, advanced calculators (Python) or models etc.
Provide feedback to the product team in terms of requirements or prioritization of potential new features coming from prospective clients or needs for the new demo
Support presentations of the new use case internally and to prospective clients, and be responsible for related presentation materials or necessary documentations
You will in particular develop the following technical skills:
IT: Big Data technologies, SQL, Python, Software management
Finance: Liquidity and Credit Risk Management calculations (Banking Book), Balance Sheet Management,
Project Management: demo preparation and project phases monitoring, follow-up and interaction with other dev teams to manage roadmap and dependencies
Requirements
Must-have (your application will not be considered otherwise)
Master’s degree in Math/IT/Finance from a tier Engineering School or university
Excellent analytical, numerical and conceptual skills
Excellent verbal and written communication skills in both French and English
Interpersonal skills: you have an outgoing personality, you are able to tell a story and actually enjoy that.
This is critical as Pre-Sales need to reach all corners of Opensee as well as with clients
Skills in Python and SQL
Strong interest in Tech and Finance
Nice-to-have
Experience in a Financial Institution, Fintech or Data management software vendor
Working conditions
Location: Paris – La Défense
Contract: Final-year internship (a French “convention de stage” is mandatory)
Duration: Minimum 6 months
Start date: Flexible
How to apply
Send us your resume and a brief description of why you are interested in joining us, and we will come back to you shortly!
To learn more about our company, our culture, and our opportunities, you can visit our page on Welcome to the Jungle.
