About the company
Transak is a global leader in providing web3 onboarding solutions for developers, businesses, and consumers. Our mission is to drive the transition to a decentralised web by making it as seamless as possible for everyone to access and engage with blockchain technologies. Founded in 2019, Transak has grown rapidly and built a strong reputation in the industry by providing easy-to-integrate solutions that enable web3 developers to onboard users from fiat to crypto and vice versa. Our solutions now support onboarding from 150+ countries to 160+ cryptocurrencies across 75+ blockchains. Today, most leading web3 apps, including MetaMask, Coinbase Wallet, Splinterlands, and AAVE, rely on our platform. We are proud to be backed by some of the most prominent investors in the web3 space, including ConsenSys, Animoca Brands, CE Innovation Capital, UOB Venture Management, Woodstock Fund,SBI Ven Capital, and prominent angels like Sandeep Nailwal, Co-founder of Polygon, and Jan Hammer. Our partnerships extend to influential brands and platforms, further solidifying our position at the forefront of the blockchain industry. At Transak, we believe in a future where the power and potential of blockchain technology are fully realized, and we're looking for dedicated, innovative, and passionate individuals to join us on this exciting journey. If you're driven by the desire to shape the future of the digital world, we would love to hear from you.
Job Summary
Responsibilities:
📍Analyse large volumes of transactional and user data to identify patterns, trends, and anomalies indicative of fraudulent behaviour. Use this analysis to suggest possible countermeasures to emerging fraudulent typologies. 📍Conduct ongoing monitoring and evaluation of risk factors, adjusting models and strategies as necessary to adapt to evolving threats and regulatory requirements. 📍Collaborate with cross-functional teams including Engineering, Product Management, and Compliance to integrate risk mitigation strategies into our platform's infrastructure and processes. 📍Design and maintain data pipelines for efficient data collection, processing, and analysis, ensuring data accuracy and integrity throughout the process. 📍Communicate findings and insights to key stakeholders through clear and concise reports, presentations, and dashboards. 📍Fulfil ad-hoc data requests from Risk and Compliance teams 📍Stay informed about emerging trends, technologies, and best practices in risk management and fraud detection within the cryptocurrency industry.
Qualifications:
📍Bachelor's or advanced degree in STEM field from a top-tier university. 📍Strong proficiency in programming languages such as Python and JavaScript, along with experience using libraries and frameworks for data manipulation, analysis, and machine learning (e.g., pandas, scikit-learn, TensorFlow). 📍Solid understanding of statistical methods, hypothesis testing, and experimental design, with the ability to apply these concepts to real-world problems. 📍Familiarity with blockchain technology, cryptocurrency protocols, and the unique challenges associated with fraud and risk in the crypto space. 📍 Excellent analytical and problem-solving skills, with a keen attention to detail and the ability to think critically and creatively. 📍Strong communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders. 📍 Proven ability to work effectively in a fast-paced, self-structured, and dynamic environment with tight deadlines and evolving priorities
