Recruiter
Nadezhda Polyakova
Roles:
Machine Learning
Must-have skills:
PythonPyTorch
Considering candidates from:
Europe, Western Balkans and United Kingdom
Europe, Western Balkans and United Kingdom
Work arrangement: Onsite
Industry: Financial Services
Language: English
Level: Middle or senior
Required experience: 2+ years
Relocation: Paid
Visa support: Provided
Size: 11 - 50 employees
Quantitative Software Engineer
Financial Services company
Vienna, Austria
3 day average response time from company
Company
Our client is a technology-led hedge fund founded in 2015, passionate about collecting, cleaning, transforming, and storing data to feed trading strategies. Its data driven trading models utilize a variety of open-source technologies and multiple data sources, from vendor APIs to fleet of web crawlers running 24/7, to make trading decisions in the global markets. The firm manages assets on behalf of a diverse range of clients including pension plans, insurance companies, financial institutions, family offices, qualified individual investors, among others.
Description
Tasks:
- Design for the evolving scale and scope of the company's quantitative research program
- Build high-performance platforms for quantitative research
- Develop, deploy, and monitor models that trade in financial markets
- Write documentation and conduct code reviews
- Promote the best coding practices firm-wide
Must-have:
- Degree in computer science or related field
- Development experience on AWS or other cloud providers
- 2+ years of Python experience including with libraries such as Numpy and Pandas
- Experience with ML
- Excellent communication skills, self-starter, quick learner, positive attitude, and team player
- Experience in at least one of the following areas
- Econometrics, factor analyses, or automated trading
- Weather data modeling
- Machine Learning techniques, e.g. neural networks
- Robotics and/or sensor networks
- Other high-dimensional, computational heavy data problem spaces
Nice-to-have:
- Pytorch, and TensorFlow
Interview process:
- Intro call with Toughbyte
- Call with the Hiring Manager for 30 minutes
- Technical interview
- Call with the Head of Portfolio and the Head of Trading
Questions
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