With over 2,100 employees of more than 100 nationalities, Exness is the place for global teamwork, incredible leadership, a learning culture, and constant development. Unlimited by time zones, Exnessians from around the world have worked seamlessly together since 2008 to provide our traders with the best possible trading experience.

Your role at Exness:

You will be a part of the Machine Learning team, which is part of the Trading Research and Analytics department. You will work closely with trading researchers, and your goal will be to implement their ideas into production. You will get the model prototype from the research team, and your goal will be to create an accurate model from it. The Machine Learning team is responsible for the whole machine learning project life cycle. The life of the model starts in production. You will be responsible not only for the deployment of the model but also for its serving, maintenance, and monitoring. We eagerly await a data-minded team member who shares our passion for trading and brokerage.

You will:

— Review and understand the data, including checking logic and cleaning outliers as needed.

— Carry out feature engineering using different techniques of feature preparation, transformation, normalization, or generation.

— Conducted model training and evaluation, developed Airflow DAGs for model training, and experimented with them.

— Be responsible for model monitoring and maintenance—after the model is ready, our goal is to monitor its metrics to understand when we should interfere and retrain the model.

What makes you a great fit:

— MS degree in computer science or a similar field or demonstrable working experience in software engineering

— 3 or more years of industry experience in MLops and MLE with Python

— Experience with Airflow

— Ability to build applications and familiarity with best practices such as CI/CD, testing, and coding standards

— 3 or more years in machine learning experience

— Deep understanding of classic models like linear regression, logistic regression, or gradient-boosting decision trees

— Good understanding of mathematical statistics and probability theory

— Strong knowledge of SQL, including complex queries and analytic functions

— At least an upper-intermediate level of English

What we offer along the way:

— Competitive and attractive compensation

— Extensive learning opportunities, such as professional training and certifications, soft skills development, free English courses, and trading workshops

— Flight tickets, hotel or apartment accommodation for your first month, migration support, and legal help for you and your family

— Health and life insurance for employees, spouses, and children, including vaccinations, tests, mental health care, and coverage for vision and dental care

— Generous time off, including 21 days of annual leave and paid sick leave

— Education allowance for your children’s school and kindergarten fees

— Access to our very own sports club with dedicated coaches, free Sanctum Club memberships for you and your spouse, corporate SUPs, jet skis, etc

— A branded company car with a parking space near the office

— Outstanding team-building experiences and Exness community gatherings

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Your journey after applying:

1. Interview with a Talent Acquisition Specialist (45 minutes)
2. Short online English test (for non-native speakers)
3. Technical interview (1,5 hours)
4. Test task (optional) (7 days)
5. Behavioral interview (1 hour)