What are you going to do ?
You will work for SaaS implementation projects and support the whole project team involving Solution engineers, Quantitative Research and R&D.
Within 2 client projects (1 production and 1 project), end users will need to leverage the Versioning features of the Opensee system to manage data around trade analytics.
Most of this data is coming from 3rd party data sources. An ETL is being implemented to extract, transform and load data into the Opensee platform. Front Office Support, IT and Data Management users from financial institutions must be able to work on the ingested data and improve it over time.
Because implementations consist of replacing systems, Opensee must put together a work process for the client, consistent with the features brought.
ETL involves data orchestration and possibly data modelling parts. Based on new functionality being implemented, you will work on the Data Management process.
State of the art around Data Quality for Financial Services should provide a baseline for the target data management process. Solution team already implemented generic quality dashboards using configurable data KPIs (Key Performance Indicators).
This internship will include :
Building internal organisations materials for managing SaaS data issues proactively from internal tools to ticket system
Implementation of data quality checks within latest Web UI in the Trade Analytics use case or Market Risk use case
Evaluate Apache Nifi against Apache Airflow over a few months in the context so that ETL can become a “common” Customer Success tool
Keywords: project management, implementation, client support, finance, big data, database, data management, SaaS, KPIs, ETL
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 and negotiation skills; autonomy AND teamwork; creative, problem-solving mindset, proactive, troubleshooter
Prior experience: Software development, implementation or support on client projects is a bonus.
Skills:
Client success oriented
Big data / distributed databases / SQL , Apache Nifi, Apache Airflow, PostGreSQL, Clickhouse database, DBeaver, Python, DBT
Scripting / analysis / optimisation in the context of tera- or peta-scale data
BI Data modelling, system integration and troubleshooting
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
Working conditions
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 very shortly!
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