Machine Learning Engineer (Fintech)

TL;DR

Machine Learning Engineer (Fintech): Building ML models for large datasets and alpha research with an accent on scientific and statistical methods. Focus on developing full-cycle ML pipelines from hypothesis to deployment and optimizing model performance for execution research.

Company

hirify.global is a quantitative investment firm focused on high-level expertise and result-oriented performance.

What you will do

• Apply scientific, mathematical, and statistical methods to develop ML models.
• Perform alpha and execution research to optimize model performance.
• Explore diverse datasets to design features and extract actionable insights.
• Manage the full ML lifecycle from initial hypothesis to deployment and maintenance.

Requirements

• STEM degree from a top-tier university or a proven track record as a Data Scientist/Researcher.
• Advanced knowledge of probability, statistics, mathematics, and algorithms.
• Deep expertise in Machine Learning.
• Experience with ML predictive modeling tools, libraries, and workflow platforms.

Nice to have

• Achievements in competitive programming or data science (ICPC, IMC, IOI, Codeforces Red+, Kaggle).
• Publications in Q1-Q2 Data Science/ML journals.
• Open-source projects or pet projects related to trading, finance, or quantitative analysis.

Culture & Benefits

• Extraordinary salary and result-oriented bonuses.
• Transparent internal processes without red tape.
• Highly competitive environment with decision-making autonomy.
• Access to a market-leading level of professional expertise.