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 around 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 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 fraud ulent activities. Develop scoring and predictive models to detect and prevent fraud ulent 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 workflow s to streamline data processes. Utilize statistical analysis techniques and data manipulation to detect fraud ulent 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. We are happy to hear from you if you have: 4+ years of experiencein a similar role. Strong mathematical and statistical skills, including knowledge of probability, algebra, and calculus, are essential for developing accurate fraud detection models. Experience in fintech, ideally in the Anti-fraud domain Proficiency in programming languages such as Python , R, or SQL , necessary for automating data analysis processes and developing predictive models. Familiarity with machine learning techniques and algorithms, beneficial for developing advanced fraud detection models. Excellent critical thinking and problem-solving skills, essential for identifying and addressing fraud ulent activities effectively. Strong communication and interpersonal skills, with the ability to explain technical concepts related to fraud detection to non-technical stakeholders. Attention to detail and ability to work independently or 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 Assistance with relocation to Cyprus Complimentary breakfasts and lunches in the office Private health care Partial payment for the gym Corporate events for employees If you're ready to work with a team of professionals passionate about technology, we're waiting for your application!
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