Implementation Internship

**About Opensee**

Opensee is the leading data platform for financial institutions that combines data management at scale with real-time analytics. Designed by capital markets experts, Opensee addresses risk, FRTB, and trade analytics use cases. By integrating high-performance computing and AI, Opensee enables banks, asset managers, and hedge funds to manage large-scale data with fast aggregations, calculations, and simulations. With offices in London, Paris, New York, and Singapore, Opensee serves banks, asset managers, and hedge funds worldwide through a platform delivered on client environments, or turnkey solutions delivered in SaaS. Learn more at opensee.io.

**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 our dynamic team responsible for managing a critical client, a Tier 1 financial institution, for whom we provide a cutting-edge Market Risk aggregation platform.

This platform is utilized daily by hundreds of Market Risk managers, executing hundreds of thousands of risk aggregation queries on terabytes of trading data.

The primary objective of this internship is to enhance our monitoring capabilities to improve platform performance and, consequently, user experience.

**Keys internship responsibilities**:

- Python tool development:

- Develop a Python-based tool to enhance the monitoring capabilities of our platform
- Pre-Aggregated Cubes: Automate the creation of pre-aggregated cubes through a meticulous mathematical analysis of users queries
- User Usage Monitoring: Implement generic capabilities to monitor user usage patterns, including data queried, query timings, and user identities
- Collaborate with the team to integrate the tool into the existing platform infrastructure
- Thoroughly document the tool’s functionalities and user guidelines to ensure smooth adoption and usage
- Client engagement:

- Work closely with your team and our client to understand their specific needs and tailor the tool to meet their requirements
- Share the developed tool with other teams and clients to expand its utility and impact, fostering broader adoption and benefit

Keywords: python, monitoring, implementation, client support, finance, big data

**About you**

**Interest**:Looking for challenge and growth within a dynamic fintech company? Like problem solving and making things truly happen? Come talk to us.

**Qualities**: Great communication skills ; autonomy AND teamwork; creative, problem-solving mindset, proactive, troubleshooter

**Skills**:

- Proven Python development knowledge
- Client success oriented
- Rest API, Big data / distributed databases / SQL, PostGreSQL, DBeaver
- Scripting / analysis / optimization in the context of tera or peta-scale data
- Financial knowledge (market risk, counterparty risk, liquidity, transaction analysis) is a bonus

**Language skills**: Fluent in English both written and verbal, French is a plus

**Position details**
- Start date: February 2025 (flexible)
- Duration: 6 months
- Location: La Défense - Landscape Tower

**Recruitment process**
- HR interview: 30’
- Tutor interview: 1 hour
- Manager interview: 30'

**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

1+ years