Data Scientist with Forex background - релокация на Кипр

Дата размещения вакансии: 26.11.2024
Работодатель: Work Life Group
Уровень зарплаты:
з/п не указана
Город:
Москва
Требуемый опыт работы:
От 3 до 6 лет

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.