Full-Stack Data Specialist - Quant Data Engineer (F/H) - Ossiam

Natixis NY Branch; Paris; Sur place; EUR 45 000 - 75 000; Plein temps

Résumé du poste

An innovative asset management firm is seeking a Full-Stack Data Specialist to enhance their data infrastructure and automate processes. In this role, you will design and optimize data pipelines, ensuring seamless integration with IT systems. Your expertise will support quantitative research strategies and empower the Research team with automated tools and data access. If you're passionate about data engineering and thrive in collaborative environments, this opportunity offers a chance to make a significant impact in a dynamic setting.

Qualifications

• 2+ years of experience in data engineering, especially with historical data infrastructures.
• Proficient in Python and SQL for data processing and automation.

Responsabilités

• Design and maintain data infrastructure and pipelines for market and financial data.
• Automate data quality controls and access for research teams.

Connaissances

Data Engineering

Python (Pandas, NumPy, SQLAlchemy)

SQL

Data Integration via APIs

ETL Pipelines

Automation of Workflows

Quality Controls

Git

Description du poste

• Permanent
• 11259
• Paris

Company Description

Ossiam is a French asset management company, subsidiary of Natixis Investment Managers, which develops and manages investment mandates and funds, particularly ETFs.

Ossiam is specialized in quantitative management and has a total assets under management of more than 10 billion euros, with a staff of nearly 50.

Job Description

You join the team as a Full-Stack Data Specialist (Quant Data Engineer) to manage the data infrastructure, automate processes and ensure integration with IT systems. Your primary mission will be to design, maintain and optimize data pipelines, databases and tools that support quantitative research strategies while ensuring the autonomy of the Research team on its workflows.

On a day-to-day basis, your tasks are:

• Design and maintain the appropriate data infrastructure and pipelines for processing time series of market, financial and sustainability data;
• Automate data quality controls, data updates and dataset migrations;
• Automate data access and pre-calculated analytics for alternative portfolio management and research teams;
• Support the development of quantitative strategies by creating a configuration base compatible with automated processing;

As a Full-Stack Data Specialist (Quant Data Engineer), you design, build and maintain the data pipelines that power the Research, ESG and alternative portfolio management teams. You ensure the integrity, versioning and quality control of your data, you also automate access to it through dedicated tools and APIs for research analysts. Working closely with Research and Alternative Portfolio Management teams, you identify their data needs for quantitative models, optimize data retrieval for backtesting and live search strategies. Finally, you set up automated processes for versioning and quality control of research deliverables (model results, backtests, pre-calculated analyses, functional controls), in order to structure and monitor the progress of the work, configurations of strategies and models, in a scalable logic.

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Company Description

Ossiam is a French asset management company, subsidiary of Natixis Investment Managers, which develops and manages investment mandates and funds, particularly ETFs.

Ossiam is specialized in quantitative management and has a total assets under management of more than 10 billion euros, with a staff of nearly 50.

Job Description

You join the team as a Full-Stack Data Specialist (Quant Data Engineer) to manage the data infrastructure, automate processes and ensure integration with IT systems. Your primary mission will be to design, maintain and optimize data pipelines, databases and tools that support quantitative research strategies while ensuring the autonomy of the Research team on its workflows.

On a day-to-day basis, your tasks are:

• Design and maintain the appropriate data infrastructure and pipelines for processing time series of market, financial and sustainability data;
• Automate data quality controls, data updates and dataset migrations;
• Automate data access and pre-calculated analytics for alternative portfolio management and research teams;
• Support the development of quantitative strategies by creating a configuration base compatible with automated processing;

As a Full-Stack Data Specialist (Quant Data Engineer), you design, build and maintain the data pipelines that power the Research, ESG and alternative portfolio management teams. You ensure the integrity, versioning and quality control of your data, you also automate access to it through dedicated tools and APIs for research analysts. Working closely with Research and Alternative Portfolio Management teams, you identify their data needs for quantitative models, optimize data retrieval for backtesting and live search strategies. Finally, you set up automated processes for versioning and quality control of research deliverables (model results, backtests, pre-calculated analyses, functional controls), in order to structure and monitor the progress of the work, configurations of strategies and models, in a scalable logic.

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Required Skills/Qualifications/Experience

About you: If you recognize yourself in the following description, you are made to work with us!
You have at least 2 years of experience in data engineering, ideally in a context of managing historical data infrastructures (finance, market, sustainability), automation of workflows and quality controls and creation of tools for automated data access and processing.

You are proficient:
- Data engineering (ETL pipelines, automation), Python (Pandas, NumPy, SQLAlchemy) and SQL;
- Data integration via APIs;
- Orchestration of workflows and automated quality controls;
- Collaborative environments (Research & IT), with management via Git etc.

You have an excellent relationship, a very good listening ability, you are:
- Autonomous and proactive;
- Comfortable working with technical and quantitative teams;
- Rigorous and organized.
You master English with a C1 level.



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