Role Pitch
As a machine Learning Engineer at Alber Blanc you will be responsible for building ML models for large datasets and alpha research. Excellent math, ML and DS skill would be a great fit for this role.
What you'll do
- Apply scientific, mathematical and statistical methods to build ML models
- Perform alpha, execution research and optimize model’s performance
- Explore existing and new datasets to design features and find insights
- Develop ML models full cycle - from hypothesis to deployment and maintenance
Requirements
- STEM degree from one of top-tier universities OR proven track of success as Data Analyst/Researcher/Data Scientist
- Advanced understanding of probability, statistics, math and algorithms
- Deep expertise in a field of Machine Learning
- Experience with ML predictive modeling tools, libraries and workflow platforms
Nice to have
- Personal achievements such as ICPC, IMC, IOI, codeforces red+, Kaggle, etc.
- Published articles in a field of Data Science/ML (Q1-Q2)
- Pet-projects or open-source repositories dedicated to trading, finance or quantitative field
What we offer
- Result-oriented bonuses along with extraordinary salary
- Transparent processes and lack of red-tape
- Competitive environment with an opportunity to make decisions and change the company
- One of the best level of expertise on the market
Who you are
See Requirements above.
Tech stack
See Requirements above.
Team description
About Àlber Blanc Capital: At Àlber Blanc you’ll work on systems where milliseconds matter. You’ll collaborate with top minds, access unlimited technical resources, and shape markets. We value your autonomy, provide competitive rewards and support relocation.
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