Job Search

We are seeking a talented Data Engineer specialized in Machine Learning to join our dynamic team focused on combating fraud and abuse. In this role, you will be responsible for designing, developing, and implementing robust data pipelines and machine learning models that identify and mitigate fraudulent activities. Your work will directly impact our ability to protect our users and maintain the integrity of our platform. You will collaborate with cross-functional teams, including data scientists, product managers, and security experts, to translate business requirements into scalable data solutions.

The ideal candidate will have a strong background in data engineering and a solid understanding of machine learning concepts. You will be tasked with ingesting and processing large datasets, ensuring data quality, and optimizing data flows for real-time analytics. Additionally, you will support the deployment of machine learning models, monitor their performance, and iterate on them based on feedback and evolving threats. Proficiency in programming languages such as Python or Java, along with experience in big data technologies like Hadoop, Spark, or Kafka, is essential. Familiarity with cloud platforms (AWS, GCP, or Azure) and tools for data visualization will be considered a significant advantage.

If you are passionate about leveraging data to fight fraud and are excited about building innovative solutions in a fast-paced environment, we encourage you to apply. Join us in our mission to create a secure and trustworthy platform while developing your career in data engineering and machine learning.

We are seeking a highly skilled and experienced Senior Data Scientist specializing in Anti-Fraud & Quality Intelligence to join our dynamic team. In this pivotal role, you will leverage your expertise in data analysis, machine learning, and statistical modeling to develop innovative solutions that combat fraud and enhance data quality across our organization. You will collaborate with cross-functional teams to identify key challenges, design experiments, and implement robust analytical frameworks that drive actionable insights and improve operational efficiency.

Your primary responsibilities will include developing and deploying advanced algorithms to detect fraudulent patterns and anomalies in large datasets, conducting thorough data validation and cleansing processes, and building predictive models to assess risk and improve decision-making. You will also be responsible for generating comprehensive reports and visualizations to communicate findings to stakeholders, as well as mentoring and guiding junior data scientists in best practices and methodologies. A strong emphasis on continuous improvement and adaptation to emerging technologies will be essential in this role.

The ideal candidate will possess a Master’s or Ph.D. in Data Science, Statistics, Computer Science, or a related field, along with a proven track record in anti-fraud analytics and quality assurance. Proficiency in programming languages such as Python or R, experience with big data technologies, and familiarity with data visualization tools are essential. Excellent problem-solving skills, attention to detail, and the ability to work collaboratively in a fast-paced environment will be key to your success in this role. Join us in our mission to safeguard our organization against fraud while enhancing the integrity of our data!

We are seeking a highly skilled Senior iOS Security Software Developer specializing in Fraud Prevention to join our dynamic team. In this role, you will be responsible for designing, developing, and implementing robust security features and solutions within our iOS applications. Your expertise will play a crucial role in safeguarding our users from fraudulent activities while ensuring a seamless user experience. You will collaborate closely with cross-functional teams to identify vulnerabilities, assess risks, and develop innovative strategies to enhance the security posture of our mobile applications.

The ideal candidate will possess extensive experience in iOS development, with a strong focus on security best practices and fraud detection methodologies. You will be responsible for developing security protocols, conducting code reviews, and integrating security measures into the application lifecycle. Your duties will also include analyzing threat vectors, performing security assessments, and collaborating with the QA team to ensure comprehensive testing of security features. A deep understanding of cryptography, secure coding practices, and familiarity with industry standards such as OWASP is essential for success in this role.

To thrive in this position, you should have a Bachelor’s degree in Computer Science, Information Security, or a related field, along with at least 5 years of experience in software development, specifically in iOS. Proficiency in Swift and Objective-C is required, along with experience in using security libraries and frameworks. Strong problem-solving skills, attention to detail, and the ability to work independently and in a team environment are critical. If you are passionate about mobile security and fraud prevention, we invite you to apply and help us build secure and reliable applications for our users.

We are seeking a talented and motivated iOS Security Software Developer, specializing in fraud prevention and detection, to join our dynamic team. In this role, you will be responsible for designing, developing, and implementing security solutions specifically tailored for our iOS applications. Your primary focus will be on identifying vulnerabilities, enhancing security protocols, and integrating fraud detection mechanisms to protect our users and their data. You will collaborate closely with cross-functional teams, including product management, UX designers, and backend developers, to ensure that security is embedded throughout the product lifecycle.

The ideal candidate will possess a strong background in mobile application security, with expertise in cryptography, secure coding practices, and vulnerability assessment. You will be tasked with conducting thorough security assessments and penetration testing on iOS applications, as well as developing automated tools to monitor and respond to security threats. Additionally, you will stay up-to-date with the latest trends in mobile security and fraud prevention to ensure our solutions remain robust and effective. A Bachelor’s degree in Computer Science or a related field, along with at least 3 years of experience in iOS development and security, is required. Proficiency in Swift and Objective-C, as well as familiarity with security frameworks and tools, is essential for this role.

If you are passionate about mobile security and want to make a significant impact in the fight against fraud, we encourage you to apply. Join us in creating a safer digital environment for our users while advancing your career in a collaborative and innovative workplace.

We are seeking a talented and motivated Android Security Software Developer specializing in fraud detection and prevention to join our dynamic team. In this role, you will be responsible for designing, implementing, and maintaining robust security solutions within our Android applications. You will collaborate closely with cross-functional teams to identify vulnerabilities and enhance our software architecture, ensuring the highest level of security against fraudulent activities. Your expertise will be crucial in developing and integrating innovative security features, conducting threat assessments, and providing insights into emerging fraud trends.

The ideal candidate will have a strong background in Android development, with a deep understanding of security protocols and best practices. You should possess proficiency in Java and Kotlin, along with experience in using security libraries and frameworks. As part of your responsibilities, you will analyze and respond to security incidents, conduct code reviews, and contribute to the development of comprehensive security policies. A keen attention to detail, problem-solving skills, and the ability to stay current with the latest security technologies are essential for success in this role.

If you are passionate about mobile security and fraud prevention and want to make a meaningful impact in a fast-paced environment, we encourage you to apply. Join us in our mission to safeguard our users and maintain the integrity of our applications!

We are seeking a highly skilled Senior Android Security Software Developer specializing in fraud detection to join our dynamic team. In this role, you will be responsible for designing, developing, and implementing security solutions for our Android applications. You will work closely with cross-functional teams to identify vulnerabilities, assess risks, and develop strategies to mitigate fraudulent activities. Your expertise will play a crucial role in enhancing the security posture of our mobile applications, ensuring a safe and secure user experience. You will also be tasked with conducting security audits, code reviews, and penetration testing to identify weaknesses and recommend improvements.

The ideal candidate will possess a deep understanding of Android security architecture, cryptographic protocols, and secure coding practices. You should have extensive experience in developing security features that protect against fraud, including but not limited to authentication mechanisms, data encryption, and secure communication protocols. Familiarity with threat modeling, security frameworks, and industry best practices is essential. In addition to technical skills, we value strong problem-solving abilities and effective communication skills, as you will collaborate with product managers and other developers to integrate security seamlessly into the development lifecycle.

If you are passionate about security and eager to tackle complex challenges in a fast-paced environment, we encourage you to apply. Join us in our mission to safeguard user data and ensure a trustworthy mobile experience for our customers.

We are seeking an experienced and motivated Lead Data Scientist - Fraud to join our dynamic team. In this pivotal role, you will leverage your expertise in data analysis and machine learning to develop innovative solutions that combat fraud across various platforms. You will lead a team of data scientists and analysts, driving the development of robust predictive models and algorithms that identify and mitigate fraudulent activities. You will collaborate closely with cross-functional teams, including engineering, risk management, and product development, to implement data-driven strategies that enhance our fraud detection capabilities.

Your key responsibilities will include designing and executing complex data analyses, developing and refining fraud detection models, and presenting findings to stakeholders. You will be responsible for setting the strategic direction for the fraud analytics team, mentoring junior data scientists, and ensuring best practices in data science methodologies. Additionally, you will stay abreast of industry trends and emerging technologies, integrating them into our fraud detection processes to continuously improve efficiency and effectiveness.

The ideal candidate will possess a Master’s or Ph.D. in a quantitative field such as Computer Science, Statistics, or Mathematics, along with a proven track record in fraud detection or financial crime analytics. Strong programming skills in Python or R, and proficiency with data manipulation tools such as SQL are essential. You should also have experience in machine learning techniques, statistical modeling, and data visualization. Excellent communication skills are crucial to articulate insights and recommendations effectively to both technical and non-technical audiences. If you are passionate about leveraging data to combat fraud and thrive in a collaborative environment, we would love to hear from you.

Join our dynamic team as a Senior Fraud Investigations Analyst, where you will play a crucial role in safeguarding our organization against fraudulent activities. In this position, you will be responsible for conducting comprehensive investigations into suspected fraud cases, analyzing data trends, and collaborating with cross-functional teams to develop effective fraud detection strategies. Your analytical skills will be put to the test as you assess risk factors, identify vulnerabilities, and recommend improvements to our existing controls and processes. You will also prepare detailed reports to communicate findings and present actionable insights to management.

The ideal candidate will possess a strong background in fraud investigations, with at least 5 years of relevant experience in financial services or a similar industry. A bachelor’s degree in finance, criminal justice, or a related field is required, while a master’s degree or professional certification (such as CFE or ACFE) is highly desirable. You must demonstrate exceptional analytical and problem-solving abilities, with a keen attention to detail. Proficiency in data analysis tools and techniques, as well as an understanding of regulatory compliance and legal frameworks, is essential. Strong communication skills are necessary for effectively collaborating with internal stakeholders and external partners to drive fraud prevention initiatives.

If you are a proactive and results-oriented professional with a passion for fighting fraud, we invite you to apply and contribute to our mission of maintaining the highest standards of integrity and security within our organization.