Data Scientist with Forex background (Relocation to Singapore)

Would you like to join an innovative consultancy firm and work on pioneering solutions for a top global FOREX broker?

Our client is part of a leading Management Consultancy firm specialising in driving digital transformation within the fintech industry and has more than 1000 employees across Singapore, Malaysia, Australia, and Taiwan. They have recently established an office in Cyprus dedicated to advancing technological solutions for crypto and CFD brokers.

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 are created 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:

1. Analyze and interpret complex data sets to identify patterns, trends, and anomalies indicative of fraudulent activities.
2. Develop scoring and predictive models to detect and prevent fraudulent transactions and activities.
3. Clean, preprocess, and wrangle raw data to prepare it for analysis, ensuring data integrity and accuracy in fraud detection efforts.
4. Automate data analysis processes using languages such as Python and SQL, and design and implement automated workflows to streamline data processes.
5. Utilize statistical techniques and data manipulation to identify fraudulent patterns.
6. Create clear data visualizations to inform stakeholders and support decisions.
7. Collaborate with teams and ensure compliance with data privacy regulations.
8. Stay updated on fraud trends and bring innovative ideas to enhance detection processes.

We are happy to hear from you if you have:

1. 4+ years of experience in a similar role.
2. Strong mathematical and statistical skills, including knowledge of probability, algebra, and calculus, essential for developing accurate fraud detection models.
3. Strong proficiency in SQL and Python for data analysis and model development.
4. FX background:
   • Proven ability to analyze trading conditions and client benefits, including implementing metrics (e.g., toxicity metrics) to detect informed investor flows and ensure platform integrity.
   • Expertise in creating quantitative models for detecting anomalous market activity and optimizing trading platform mechanics.
   • Practical knowledge of evaluating trading behavior, including client segmentation based on activity patterns and identifying trading benefit abuses (e.g., alternative NSR calculations).
5. Strong knowledge of machine learning techniques and algorithms, beneficial for developing advanced fraud detection models.
6. Excellent critical thinking and problem-solving skills, essential for identifying and addressing fraudulent activities effectively.
7. Strong communication skills to explain technical concepts to non-technical stakeholders.
8. Attention to detail and ability to work independently and in a team environment.
9. Bachelor's degree in computer science, mathematics, statistics, or a related field, with a focus on fraud detection or data analytics preferred.
10. Willingness to work in an office in Singapore.

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
• Private healthcare for you and your immediate family
• Flexible benefits can be used on personal devices, flights and hotels, mobile allowance.

If you're ready to work with a team of professionals passionate about technology, we're waiting for your application!