Data Scientist with Forex background - релокация на Кипр
Вакансия № 34999301 в населенном пункте (городе) Москва, Россия от компании "Work Life Group" на сайте Электронный Центр Занятости Населения (ЦЗН) Москвы.
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Обязательное требование к опыту работы искомого сотрудника: 3–6 лет.
График работы: полный день.
Тип занятости: полная занятость.
Вакансия № 34999301 добавлена в базу данных: Вторник, 2 сентября 2025 года.
Дата обновления этого объявления: Четверг, 25 сентября 2025 года.
| Рейтинг вакансии: 1,66 из 100 баллов |
Работодатель предложит заработную плату по результатам собеседования с соискателем работы.
Our client is developing an innovative anti-fraud platform designed to ensure security in trading and payment fields. The platform is in the active development stage, and all key components will be built from scratch. This includes a rule management engine, integration with various data providers, tools for clone detection, and scoring models. Additionally, there are plans to develop a unified back-office for rule configuration, transaction monitoring, and risk mitigation management.
Responsibilities:
- Analyze and interpret complex data sets to identify patterns, trends, and anomalies indicative of fraudulent activities.
- Develop scoring and predictive models to detect and prevent fraudulent transactions and activities.
- Collaborate with cross-functional teams to define data requirements and objectives related to fraud detection and prevention.
- Clean, preprocess, and wrangle raw data to prepare it for analysis, ensuring data integrity and accuracy in fraud detection efforts.
- Automate data analysis processes using languages such as, Python, and SQL, and design and implement automated workflows to streamline data processes.
- Utilize statistical analysis techniques and data manipulation to detect fraudulent patterns and trends within e-commerce product payment and risk systems.
- Visualize data and communicate findings to stakeholders clearly and compellingly, enabling informed decisions on fraud prevention strategies.
- Adhere to ethical guidelines and privacy policies when handling sensitive data, ensuring compliance with regulatory requirements.
- Bring innovative ideas and approaches to enhance the effectiveness and efficiency of automated fraud detection processes.
Requirements:
- 4+ years of experience in a similar role.
- Strong mathematical and statistical skills, including knowledge of probability, algebra, and calculus, are essential for developing accurate fraud detection models.
- Strong proficiency in SQL and Python for data analysis and model development.
- FX background
- Strong knowledge of machine learning techniques and algorithms, beneficial for developing advanced fraud detection models.
- Excellent critical thinking and problem-solving skills, essential for identifying and addressing fraudulent activities effectively.
- Strong communication skills to explain technical concepts to non-technical stakeholders
- Attention to detail and ability to work independently and in a team environment.
- Bachelor's degree in computer science, mathematics, statistics, or a related field, focus on fraud detection or data analytics preferred.
- Willingness to work in an office in Cyprus
You will love to join this company for:
- Permanent contract
- Support in learning and development further while also providing multi-year career opportunities
- Annual bonus
- Work in a comfortable office
- Relocation Support for you and your family to Limassol, Cyprus.
- Delicious breakfasts and lunches in the office.
- Private healthcare for you and your immediate family.
- Premium sports card with access to 200+ gyms, 50+ activities (kayaking, kite surfing, go-karting), and a wellbeing app across Cyprus.
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