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, United Kingdom
05/04/2019
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. Our Belfast R&D Hub Our Belfast office opened in early 2019 and is the hub for Signifyd’s accelerated international expansion. Belfast will quickly grow from a development center to an office that houses the full range of roles needed to build e-commerce success for our European customers.   Our Belfast team is as diverse as our customers; we’re a fantastic bunch of talented people working across multiple disciplines.  We’re passionate about creating and delivering innovative solutions for our customers and solving problems together; all while having fun at the same time.  If you share our values, we think you’ll fit in nicely! About our graduate opportunity Your work will impact millions of our customers.  We are looking for passionate graduates to join our stellar Data Science team in Belfast. You will have the opportunity to apply your academic 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 implement analytical algorithms to test the model performance. Our graduates will get industry leading guidance and support to learn our models and grow into fully productive members of our team; no bench sitting!  If you want help, you'll get it - from all quarters, but we’ll encourage you to figure out what needs to be done, identify who is in the best position to make it happen, and if that’s you, roll up your sleeves and have at it! What you'll do: Processing and analyzing data collected with research prototypes Ideation, prototyping, measuring predictive features by transforming data into actionable solutions Writing algorithms  to boost or validate a  model performance Deliver analytics content to help make key business decisions Writing or modifying data pipelines to process and mine historical data Who you are: You are working towards a MS /PhD in CS ,Data Science, or ML related field You are a Programmer - Python, Java or C You will be able to effortlessly apply the expertise gained throughout their academics  to tackle real time challenges, and will have the hunger to work with large, complex data sets. You are focused on results, a self-starter, driven with a hunger to  solve complex problems using data and cutting edge ML algorithms. You are willing to ask for help if you need it You are open to learning from others and always curious to know more What support can you expect: We’ll provide you with a solid investment in your individual growth and development including an individual development plan, mentoring from industry professionals, a spot on small peer-led teams to provide great opportunities to learn; as well as the chance to drive your own professional development and career direction through regular discussions with your team manager. What you will get in return: In return, as part of your contribution to our success and to the success of our customers, you’ll receive a benefits package that is one of the most competitive in Belfast; An competitive base salary (with plenty of room for growth) An equally competitive equity package A performance related bonus, paid twice yearly (on target 10% of your annual salary) An attractive pension matched up to 8% (you choose how much you want to pay in) ‘Day one’ access to a great health, dental and optical insurance scheme 25 days of annual leave (in addition to 10 public holidays) Flexibility Great family friendly benefits (12 weeks of full-pay parental leave for mums and dads) A free lunch every day you’re in the office Free snacks and drinks Subsidised public transport and car parking A LinkedIn Learning account Have a great setup and working environment to help you do your job AND be able to take part in (or drive) our social/community events
SIGNIFYD BELFAST, UNITED KINGDOM
05/04/2019
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. Oh, and a few particulars for this role: Wanted: Graduate Software Engineers “Imagine working in a setting where, in the first couple of days, you’ll push code to our production environment.  If the prospect of that excites you, and maybe even scares you a little, then we want you come and talk to us!” As a Graduate Engineer, you’ll make things happen 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.  We don’t have time for office politics, we understand that different people have different work styles and we thrive on that diversity while learning from each other.  We’re all ‘Signifyers’, so we know that what needs to get done will get done. As a Grad, we want you to bring your own style, individual passion, ideas and interests to our team.  Everyone at Signifyd has the chance to get involved and deliver great solutions for our customers. Our Graduate Software Engineers will get industry leading guidance and support to learn our technology stack and grow into fully productive members of our team; no bench sitting!  If you want help, you'll get it - from all quarters, but we’ll encourage you to figure out what needs to be done, identify who is in the best position to make it happen, and if that’s you, roll up your sleeves and have at it! Our Belfast R&D Hub Our Belfast office opened in early 2019 and is the hub for Signifyd’s accelerated international expansion. Belfast will quickly grow from a development center to an office that houses the full range of roles needed to build ecommerce success for our European customers.   The Belfast team are a fantastic bunch of talented people working across multiple disciplines.  We’re passionate about creating and delivering innovative solutions for our customers and solving problems together; all while having fun at the same time.  If you share our values, we think you’ll fit in nicely! About our graduate opportunity We are looking for passionate graduates to join our established development teams in Belfast.  You’ll have the opportunity to join engineering teams who are leveraging the latest technologies to develop innovative solutions and services and do things that haven’t been done before in our industry.  You’ll have the opportunity to work with experienced professionals, collaborate with other partners across the business and deliver a fantastic and seamless experience for our customers. What support can you expect We’ll provide you with a solid investment in your individual growth and development including an individual development plan, mentoring from industry professionals, a spot on small peer-led teams to provide great opportunities to learn; as well as the chance to drive your own professional development and career direction through regular discussions with your team manager. Our Signifyd stack Our main stack includes Java, Python, Cassandra, MySQL, Solr, Apache Spark, Play!  framework, Linux, Docker and AWS. As a graduate developer we don’t expect you to have a detailed knowledge of everything on our stack, but if you’re: - curious  and hungry to learn new things - tenacious  and not put off by a challenge -  have the  compassion  to think about the real people who depend on our products -  are able to stay  agile  and adapt quickly, and; -   have a desire to get involved and work as part of a  team then we’ll help you to pick up the rest!   What you’ll get to do From the outset you’ll contribute to our features and products and participate fully in your team’s responsibilities, that means you’ll: - Participate in planning, design and daily stand-ups from the get-go Be part of a team who are responsible for the full lifecycle of their products: design, development, unit testing, integration testing, deployment, monitoring and iterative improvement Be part of a team who are responsible for the full technology stack related to their product or feature; from the user level APIs right down to the databases, streams, and queues, that back the functionality! To know if we’re a great fit for you, you’ll: Be working towards a Bachelor's Degree in Computer Science or Software Engineering, with a predicted grade 2.1 or above Be working towards Masters Degree in Software Development with a predicted grade of Pass or Distinction Have an interest or desire to work with Java, Python, SQL or any of our development stack, or you’ll have worked with some of our stack before on your own time or for your own projects Have an interest in machine learning Be willing to ask for help if you need it Be comfortable making a mistake, but be willing learn from it Be open to learning from others and always curious to know more What will you get in return? In return, as part of your contribution to our success and to the success of our customers, you’ll receive a benefits package that is one of the most competitive in Belfast; A competitive base salary (with plenty of room for growth) An equally competitive equity package A performance related bonus, paid twice yearly An attractive pension matched up to 8% (you choose how much you want to pay in) Day one’ access to a great health, dental and optical insurance scheme 25 days of annual leave (in addition to 10 public holidays) Flexibility Great family friendly benefits (12 weeks of full-pay parental leave for mums and dads) A free lunch every day you’re in the office Free snacks and drinks Subsidised public transport and car parking A LinkedIn Learning account Have a great setup and working environment to help you do your job AND be able to take part in (or drive) our social/community events 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
25/03/2019
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. Oh, and a few particulars for this role: The Merchant Risk Analytics team is fast-paced, high-energy, and diligent in identifying emerging fraud patterns and preventing fraud loss before it happens. We conduct stringent analysis of complex data sets, and set up multiple layers of business rules, models, and other processes to enable ecommerce businesses through a frictionless buying experience. We are a highly cross-functional team and regularly engage with Data Science, Customer Success, Risk Operations and Engineering to mitigate and eliminate fraud and meet merchant service-level goals. Due to unprecedented growth and recent expansion to the EU, we’re looking for an experienced risk leader to manage a team of analysts in our brand new R&D Center in Belfast. This is a unique opportunity for someone looking to take their career to the next level and have ownership and impact as we build from the ground up. This role will oversee and coordinate various aspects of the Group’s risk functions including the implementation of processes, tools and systems to identify, assess, measure, manage, monitor and report risks. You’ll have the opportunity to find and recruit your own talent, set up roles, processes and tools, and provide mentorship to team members. This is a high visibility role, as you’ll be be the point person for coordination and collaboration with our US team. Responsibilities Prioritize time and effort to maximize impact on meeting key team goals Recruit, train, and manage team members to maximize their potential, contributions and professional growth Manage merchant risk portfolios from end to end, understanding merchant needs for positive customer experience, quick decisioning, and fraud prevention Develop in-depth analyses and build automated and scalable reporting tools (dashboards, reporting packs, etc.) to regularly assess the performance of the business, tell the story behind the numbers, and provide actionable insights to the team Coordinate with US Customer Success and Risk Operations to resolve customer-related fraud issues and provide the best possible customer experience in a timely manner Understand effectiveness of existing fraud strategies and oversee the design, development, and management of new real-time fraud rules and mitigation efforts Work with Data Science and Engineering teams to conceive, design & monitor fraud risk strategies in order to mitigate fraud risk in the most precise manner possible Communicate and report overall status, primary metrics, fraud issues, proposed solutions and plan timelines to senior management Requirements Minimum of 4+ years of relevant experience, working in fraud in a payments, credit or e-commerce space BSc, preferably in economics, applied math, statistics or other quantitative field; MSc preferred Expertise in SQL and data querying; some knowledge of Python or R An engaged, people person with experience in cross-functional roles and indirect influencing Proactive and results-oriented, comfortable solving problems despite ambiguity A thoughtful person who earns trust and builds strong working relationships across departments A proven track record of driving results through continuous improvement Ability to operate and execute projects with minimal oversight Outstanding written and presentation skills. Experience presenting technical content to audiences Demonstrated problem solving and critical thinking, providing data-driven business insights and recommendations Preferred Requirements Adaptable, resilient, and able to thrive in ambiguity - things change quickly in our fast-paced startup and you’ll need to be able to keep up Strong people management skills Experience with project management Desire for impact - ready to take on a lot of responsibility and work collaboratively with your team Ability to mentor and grow junior team members Positive attitude and willingness to roll up sleeves and dig deep to achieve goals Ability to execute on programs and projects and flexibly with minimal resources Proven ability to manage multiple priorities simultaneously 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
25/03/2019
Full time
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. 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 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.