Job
- Level
- Experienced
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 55.000 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop infrastructure for quantitative strategies and data pipelines, automate processes, and optimize database solutions in R and SQL for innovative investment decisions.
Job Technologies
Your role in the team
- You don't want to work on standard enterprise software, but on a platform where research, data, and investment decisions come together? With us, you will develop the infrastructure that enables and scales quantitative strategies, data pipelines, and research processes.
- You work on modern data and analytics platforms, automate processes, and deploy new technologies productively. In doing so, you take responsibility across the entire development cycle – from idea to operational deployment.
- Development and further enhancement of our quantitative research and asset management platform.
- Software development with a focus on R as well as the integration of additional technologies and services.
- Design, development, and operation of high-performance database solutions based on MS SQL and MySQL.
- Development and optimization of automated data and ETL processes.
- Development of interfaces between internal applications, market data providers, and external systems.
- Further development of our monitoring, deployment, and operational processes.
- Analysis and resolution of technical challenges in production systems.
- Responsibility for projects from requirements analysis through implementation to go-live.
- Close collaboration with Quant Research, IT, and Portfolio Management.
This text has been machine translated. Show original
Our expectations of you
Education
- Completed degree or apprenticeship with a technical focus (e.g., Quantitative Finance, Computer Science, Mathematics, Physics, Data Science, or comparable).
Qualifications
- Very good knowledge of R.
- Knowledge of modern software development and DevOps processes (Git, CI/CD, deployment, monitoring).
- Interest in data platforms, automation, and quantitative applications.
- Structured, analytical, and self-reliant way of working.
- High willingness to learn and enjoyment of collaboration in interdisciplinary teams.
Experience
- Experience with relational databases and SQL.
- Ideally, experience with Java, C#, .NET, or comparable technologies.
This text has been machine translated. Show original
What we offer
- Direct influence on the technological development of a quantitative asset manager.
- Challenging tasks at the intersection of software development, data engineering, and quant research.
- Modern development environment utilizing current AI-powered development tools.
- Flat hierarchies, short decision-making paths, and direct communication with decision-makers.
- Flexible working hours as well as a hybrid work model with home office options.
This text has been machine translated. Show original
Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
IQAM Invest GmbH
IQAM Invest is a modern fund manufacturer with more than 30 years’ market experience. IQAM Invest and its team of more than 50 experts in Salzburg, Vienna and Frankfurt offer professional investors high-quality investment funds and individual, tailored investment solutions. We help our customers achieve their investment goals by applying carefully selected yield factors in a risk-controlled manner.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Banking, Finance, Insurance
Quant Developer & Data Platform Engineer
- Salary
- from 55.000 € Gross/YearNet salary converted from the gross salary in the job ad.from 38.438 € net/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
