ML Middle/Senior Engineer (Trading)

Itransition·Ташкент·12 ч назад

ML Middle/Senior Engineer (Trading)

Ориентир по рынку≈ 2 100 – 3 100 $наша приблизительная оценка по 42 вакансиям этой роли и грейда, у работодателя вилка не указана

🌍 УдалённоMiddleПолная занятость

≈ 2 100 – 3 100 $наша приблизительная оценка

Стоит ли откликаться

Стоит откликнуться, но спросите про деньги

Вместо вилки в объявлении «Competitive compensation»: что это значит в цифрах, придётся выяснять.

1 из 4 в норме

Вилку не назвали: какую сумму назвать вам и ниже какой не соглашаться

Вакансия на английскомПереведёт заголовок и описание вакансии на русский

Описание вакансии

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.

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

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

English proficiency at B1 level or higher

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

We can 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

Options to work remotely

Compensation for medical expenses

English courses online

Corporate parties and events for employees and their children

Internal conferences, workshops and meetups for learning and experience sharing

Gym membership compensation, corporate sport competitions (cybersport included)

5 days of paid sick leave per year with no obligation to submit a sick-leave certificate

Технологии и навыки

Ташкент

Зарплата≈ 2 100 – 3 100 $наша оценка

ГрейдMiddle

ЗанятостьПолная занятость

РегионУзбекистан

ФорматУдалённо

ИсточникСкрыто

Опубликовано12 ч назад

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ML Middle/Senior Engineer (Trading)

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