ML Middle/Senior Engineer (Trading)
Description
We are looking for a Machine Learning Researcher to design, develop, and evaluate predictive models for financial markets. You will work at the intersection of quantitative research, machine learning, and real-world trading constraints, contributing to alpha generation and risk modeling.
office remotePoland
Requirements
- 3+ years of relevant experience
- Strong Python skills and experience with ML ecosystems (AWS Sagemaker, MLFlow)
- Hands-on experience working with tabular/time series data with usage of ML
- Solid understanding of machine learning fundamentals: Supervised learning, feature engineering, model evaluation; Overfitting, regularization, cross-validation
- Knowledge of statistical methods and probability theory
- Experience with experiment design and offline evaluation
- Ability to work with large datasets and build efficient data processing pipelines
- Familiarity with SQL and data querying
- Strong analytical and problem-solving mindset
- Ability to clearly communicate findings and trade-offs
- Ownership of tasks from research to implementation
- Curiosity and willingness to explore new approaches
- Level of English enough for efficient technical and business communication with native speakers
Nice to have
- Experience in financial machine learning, quantitative finance, or trading systems
- knowledge of signal generation, alpha research, portfolio construction or risk modeling
- Experience with: Deep learning for tabular/time series data (Transformers, RNNs, etc.); Probabilistic modeling or Bayesian methods
- Hands-on experience with production ML systems (MLOps, monitoring, retraining)
- Ability to define research direction and identify high-impact opportunities
- Decision-making under uncertainty
- Ability to translate business problems into ML solutions
Responsibilities
- Develop and validate machine learning models for financial time series and cross-sectional data
- Conduct research on alpha signals, feature engineering, and predictive modelling techniques
- Design experiments and backtesting frameworks with proper statistical rigor
- Work with large-scale structured and unstructured financial datasets
- Collaborate with engineering teams to deploy models into production pipelines
- Analyze model performance, stability, and robustness under changing market conditions
- Improve data pipelines, labeling strategies, and evaluation methodologies
We offer
- Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota
- Competitive compensation that depends on your qualification and skills
- Career development system with clear skill qualifications
- Flexible working hours aligned to your schedule
- Options to work remotely
Any questions?
Natalya
hh@itransition.comApply for
Apply for
ML Middle/Senior Engineer (Trading)
Apply by filling in the form beside or sending your CV to hh@itransition.com