Alber Blanc

Machine learning engineer in quantitative finance

In short

This role builds machine learning models for large datasets and alpha research at a quantitative finance company. The work spans the full ML cycle, from applying statistical and mathematical methods to deploying and maintaining models. It demands strong math, statistics, and ML expertise, either via a top-tier STEM degree or a proven track record as a Data Analyst/Researcher/Data Scientist. The position is onsite, full-time, senior-level, requiring at least 3 years of experience.

About the Role
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 skills would be a great fit for this role.
Responsibilities
•Apply scientific, mathematical, and statistical methods to build ML models
•Perform alpha, execution research, and optimize the 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 the top-tier universities OR proven track of success as a Data Analyst/Researcher/Data Scientist
•Advanced understanding of probability, statistics, math, and algorithms
•Deep expertise in the 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 the field of Data Science/ML (Q1-Q2)
•Pet projects or open-source repositories dedicated to trading, finance, or the quantitative field
Conditions
•Result-oriented bonuses along with an 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 levels of expertise on the market

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