Data Scientist

Quantiive is a Swiss based asset management company with strong digital assets quantitative trading and decentralized finance focus. We are proud to be an institutional focused company so our main clients are Hedge Funds, HNWIs, Funds of Funds.

Quantiive is founded by passionate professionals with banking, finance and business development backgrounds combining unique expertise both from classic finance and crypto world. We have a multi-million assets portfolio under management with a 3-digit YoY growth tempo.

You will work on software that interacts with the global digital asset market and a deep understanding of how information flows across the financial systems. This is a great opportunity for talented candidates that are looking to join a fast-growing team in a crypto trading industry, work closely with founders and be responsible for their own decisions and results.

- Сonsolidate a data from different markets and sources
- Analyse strategies and results
- Suggest hypotheses
- We expect from our future colleagues:
- A degree in statistics, mathematics, computer science, engineering, physics, industrial engineering or similar fields from a leading university
- Experience in coding and working with data using a wide range of tools and languages: Python (Pandas, XGBoost/LightGBM), R (dplyr, ggplot2), and git

Location: Remote. Сandidates are considered from any location

- Mentorship from a strong team of experts
- Top technology hardware and software stack
- Access to enterprise infrastructure and liquidity
- Competitive compensation conditions (fix salary + profit share + expenses)
- Switzerland relocation package option for successful candidates
- Diversified program loyalty program after the trial period for you and your loved ones
- Flexible schedule and maximum independence without micromanagement
- Horizontal or vertical career at the future

We are looking for:
- A data scientist with excellent quantitative ability and curiosity. Ready for independent work, disciplined, able to find non-standard ways of solving problems. The core of our work is to find patterns which need to be translated into equations and algorithms, furthermore tested on historical data. In our vision Data Scientist will be a connecting link between strategy creating and execution.

Bonus:
SQL, Tensorflow/Keras, Cloud infrastructure, Docker, and a lower-level language like C/C++/C#
- Experience with advanced analytical and statistical modelling techniques
- In-depth understanding of mathematical and statistical concepts behind most common machine learning techniques and quantitative trading strategies
- Ability to see solutions and opportunities that others do not see
- High level of commitment and reliability, good balance of pragmatism and perfectionism
- Business proficiency in Russian and English