Your profile
The ideal candidate is a detail-oriented developer with a strong focus on delivering maintainable, scalable, and high-performance Python applications. You will work closely with cross-functional teams, including front-end developers and product managers, to deliver reliable back-end applications.
Required Qualifications:
- Strong CS Fundamentals: BSc in Computer Science or a related discipline.
- Python Expertise: Proven work experience with Python libraries and frameworks not limited to scripting.
- Database Knowledge: Ability to design SQL databases, and implement effective SQL queries using SQLAlchemy
- Tooling: Familiarity with Python >=3.10, asyncio, unit test, SQLAlchmey, Alembic, etc. libraries
- Version Control: Experience with Git and version control best practices.
- Linux Knowledge: basic Linux knowledge is required, Ubuntu preferred
- Agile/Scrum: Experience working in Agile environments, using tools like Jira.
- Teamwork: Strong collaboration skills, with the ability to work independently and take ownership of tasks.
- English Proficiency: Good command of English for documentation, collaboration, and communication.
- Must be eligible to work in the EU and a resident in Hungary.
- Office Day: Willing to work from an office in Budapest once a week
Nice-to-Have:
- Familiarity with OpenAPI and its tooling.
- Familiarity with Flask or similar API frameworks.
- Familiarity with Python packaging (eg setuptools).
- Familiarity with Docker/Kubernetes.
- Familiarity with AWS services, like EC2, RDS, S3, ECS, Lambdas
About us
iQuant Solutions is a London-based fintech company with staff located in London, Zurich, Frankfurt, and Budapest that provides data management, portfolio statistics, quant modeling, regulatory fund reporting solutions, and other analytics services to the asset management and financial services industry.
During the last decade, the data management and reporting requirements for asset managers have increased tremendously. Our mission is to help financial institutions regain control of their data, in terms of quality and availability, to better serve their clients and meet their reporting obligations. We believe that automation of fund data and reporting is the key to a modern, efficient, and long-term solution for those challenges.
