Our mission is to make commerce safer for online retailers.More than a decade ago our founders got started building a new category of products at PayPal and FedEx to protect online retailers from fraud.We found that existing solutions only provided retailers with a cryptic score and relied on human expertise alone to ultimately decide whether or not to accept a transaction. We soon realized online retailers were in need of a simple yes or no decision, but such a product did not exist, and Signifyd was born.For the first time, online retailers can receive a decision backed by a 100% financial guarantee against fraud. We focus on making commerce safer for online retailers, so that they can focus on what they do best: growing their business.

SIGNIFYD Belfast, UK
08/02/2019
Full time
At Signifyd we’re creating a new market. We’re constantly improving and expanding the technology that has changed what fraud protection for e-commerce looks like. So we don’t have time for office politics. We understand that different people have different work styles and we thrive on variety while learning from each other. We’re all Signifyers, so we know that what needs to get done will get done. Signifyd is a place where no one is going to tell you how to do your job. If you want help, you'll get it — from all quarters. But we pretty much figure out what needs to be done, who's in the best position to do it and then let that person roll-up her or his sleeves and have at it. We're protecting retailers from online fraud in a way that's never been done before and we could use your help if you're someone: - Who believes challenges are best overcome by thinking differently.- Who knows his or her role, but isn’t confined by it.- Who’s greatest satisfaction comes from helping customers succeed and achieve their dreams.- Who isn’t afraid to disagree, convincingly, civilly and honestly.- Who will stop and hold the door for a colleague, even if you’re running late. Oh, and a few particulars for this role: Responsibilities Work on system level projects, improve performance, scale capacity, reduce costs, and secure data Work with multiple Engineering teams to understand long-term vision and design architecture Automate new and existing processes/environment to build, test and deploy software and infrastructur Research new and emerging technologies for future consideration Define and improve new and existing infrastructure for performance monitoring and anomaly detection Quickly react to issues and troubleshoot by working across multiple teams About You You're technical. You love rolling up your sleeves and code. We use Java for our products and Python for our tools, but your suggestions are welcomed. You understand that iteration is the way to consistently make systems better and more reliable over time. You understand that metrics, monitoring, and alerting are necessary to having a reliable service. You believe that anything can be automated and probably should be. You believe that developer experience is important. You believe in simple, unified tools that enable others to manage their own services. You thrive in a collaborative environment and can communicate your ideas effectively. Desired Skills and Experience 3+ years of experience developing high traffic 24/7 SaaS products. Be proactive, multi-task efficiently, detail oriented, work well in a team, collaborative and highly responsible. Strong troubleshooting and problem solving skills across the full stack to identify and resolve production issues in a timely manner. Strong understanding of build systems (e.g. Gradle, Maven) Experience with container technology (e.g. Docker, ECS, Kubernetes) Experience with various AWS services. Design and develop microservices from scratch. Knowledge of orchestration/automation tools such as Chef, Ansible or Salt. Knowledge of Linux administration, performance monitoring and debugging tools. Good background in security, networking, server hardware, cloud services, and container technology. BS in Computer Science or related technical field. We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. Posted positions are not open to third party recruiters/agencies and unsolicited resume submissions will be considered free referrals.
SIGNIFYD Belfast, United Kingdom
29/01/2019
Full time
At Signifyd we’re creating a new market. We’re constantly improving and expanding the technology that has changed what fraud protection for e-commerce looks like. So we don’t have time for office politics. We understand that different people have different work styles and we thrive on variety while learning from each other. We’re all Signifyers, so we know that what needs to get done will get done. Signifyd is a place where no one is going to tell you how to do your job. If you want help, you'll get it — from all quarters. But we pretty much figure out what needs to be done, who's in the best position to do it and then let that person roll-up her or his sleeves and have at it. We're protecting retailers from online fraud in a way that's never been done before and we could use your help if you're someone: Who believes challenges are best overcome by thinking differently. Who knows his or her role, but isn’t confined by it. Who’s greatest satisfaction comes from helping customers succeed and achieve their dreams. Who isn’t afraid to disagree, convincingly, civilly and honestly. Who will stop and hold the door for a colleague, even if you’re running late. Oh, and a few particulars for this role: Excellent programming skills in Java or similar language Experience with scripting languages and SQL Analytical problem solving skills Bonus Skills:Experience building large-scale high-performance systems Startup experience Payments or risk experience Machine learning or related knowledge Typical Education:B.S., M.S., or Ph.D. in Computer Science, Electrical Engineering, Math, or other technical field Our stack:Java, Python, Cassandra, MySQL, Solr, Apache Spark, Play! framework, Linux, Docker, AWS All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law. Posted positions are not open to third party recruiters/agencies and unsolicited resume submissions will be considered free referrals.
SIGNIFYD Belfast, United Kingdom
29/01/2019
Full time
At Signifyd we’re creating a new market. We’re constantly improving and expanding the technology that has changed what fraud protection for e-commerce looks like. So we don’t have time for office politics. We understand that different people have different work styles and we thrive on variety while learning from each other. We’re all Signifyers, so we know that what needs to get done will get done. Signifyd is a place where no one is going to tell you how to do your job. If you want help, you'll get it — from all quarters. But we pretty much figure out what needs to be done, who's in the best position to do it and then let that person roll-up her or his sleeves and have at it. We're protecting retailers from online fraud in a way that's never been done before and we could use your help if you're someone: Who believes challenges are best overcome by thinking differently. Who knows his or her role, but isn’t confined by it. Who’s greatest satisfaction comes from helping customers succeed and achieve their dreams. Who isn’t afraid to disagree, convincingly, civilly and honestly. Who will stop and hold the door for a colleague, even if you’re running late. Oh, and a few particulars for this role: You will have the opportunity to apply your knowledge of machine learning, statistics and your analytical skills to develop models detecting fraud patterns. You will ideate, test and deploy advanced predictive signals to improve fraud detection performance. You will collaborate with other data scientists and engineers to build data pipelines, do feature prototyping, and write production-grade code to implement analytical algorithms and flexible strategies. Specific job duties may include: Writing or modifying data pipelines to process and mine historical data Processing and analyzing data collected with research prototypes Ideation, prototyping, measuring predictive features transforming data into actionable information Prototyping and validating models and algorithms to boost model performance Writing production code (python, SQL, etc.) to deliver analytics content Required Skills and Experience: An advanced degree (M.S. or Ph.D) in computer science, applied mathematics, or a comparable analytical field from an accredited institution Expert proficiency with an advanced data analysis toolkit (such as python/matplotlib, R, ROOT, etc.) Superior SQL skills with proven experience in relational databases and data warehouses 5+ years of demonstrated fluency with python and at least one other programming language 2+ yrs of experience with NoSQL databases and unstructured data 2+ yrs of experience setting up and using distributed/parallel processing frameworks such as Spark, Hadoop, Storm etc. is a big plus Demonstrated ability to develop high-quality code adhering to industry best practices (i.e., code review, unit tests, Gitflow) Possession of core analytics skills and expertise (as demonstrated by prior work): Knowledge of applied statistics and key concepts underlying statistical inference and inductive reasoning Experience designing experiments and collecting data Experience developing models based on sensor data, and an understanding of error propagation and the limitations of data subject to measurement uncertainties Demonstrable expertise in one or more areas: applied mathematics, predictive analytics, expert systems, ANNs/deep learning, graph theory, Markov Chain Monte Carlo, geo-informatics (GIS), language processing, risk analysis Work/project history reflective of a self-motivated professional who excels when given open-ended problems and broadly-defined goals, having an innate desire to discover the patterns and relationships in data that can be leveraged to provide business value