Our Mission & Vision

Zighra was founded in 2009 by security technologists who saw major trends on a convergence course. Mobile payments, sensor technology, machine learning and security have transformed how people live, work, play, and conduct financial transactions – but businesses have not adapted.

Today, businesses still struggle to provide optimal security experiences thanks to the continuing rise in complexity of apps and the requirement to deliver them to smaller and slower devices. This mismatch led the founders to create the vision for the invisible security experiences and to develop Zighra’s fraud detection platform to support it.

Zighra’s mission is to help accelerate online businesses and close the fraud gap between consumers and businesses. We aim to apply the intelligence of biological systems to security to deliver continuous authentication to mobile transactions, with a convenient end user experience, and swipe-and-go simplicity.

Our People & Culture

The team at Zighra is drawn to world-changing technology. Our people thrive from seeing our customers’ success grow in real time and building technology to accelerate that growth. At the core of what drives us is one simple phrase, “Frictionless Customer Experience”. This singular focus is more than a mantra – putting the customer first is evident in the products we build, the support we provide, and the way we sell. Our technology is cutting edge, novel, patented, award-winning, but from our perspective, none of that matters if we’re not helping our customers securely accelerate their businesses with real, tangible gains.

Current Openings

Senior Machine Learning / Senior Data Scientist

As a data scientist on our team, you will push the boundaries of machine learning and current mobile and sensor based smart devices. You will be presented with exciting technological challenges that require engineering creative algorithms and developing unique solutions under highly constrained environments.

Zighra is rapidly building out our sensor analytics infrastructure. We are extending our platform to handle billions of new records each day, a petabyte scale repository for analytics, and mobile applications for adaptive behavioral authentication and fraud detection. This platform enables Zighra’s customers to analyze and attribute user behaviours across mobile banking and commerce transactions. We’ve already built out a sensor analytics platform that powers users across 70 countries and 700+ smart device types, to give us access to these large data sets and this is a great opportunity to join as a key member of the team and be at the centre of impactful action.

Job Duties and Responsibilities:

  • Design, develop, and deliver AI/machine learning enabled solutions for behavioral authentication and fraud detection
  • Build scalable, available, and supportable processes to collect, manipulate, present, and analyze large datasets in a production environment
  • Articulate problem definition and work on all aspects of data including acquisition, exploration/visualization, feature engineering, experimentation with machine learning algorithms, deploying models
  • Develop working prototypes of algorithms and evaluate and compare metrics based on the real-world data sets
  • Data analytic responsibilities include pattern discovery, outlier detection, sample design, identification of appropriate analytic and statistical methodology, model development and documentation of process and results
  • Oversee implementation of fraud detection and predictive models in production

Minimum Required Knowledge, Skills, and Abilities:

  • 5 years of professional experience is required
  • Masters Degree in applied math, physics, statistics, machine learning or computer science
  • Deep understanding of statistics and experience with machine learning algorithms/techniques
  • Passion for solving challenging analytical problems
  • Ability to quickly qualitatively and quantitatively assess a problem
  • Ability to work productively with team members, identify and resolve tough issues in a collaborative manner
  • Experience in applying machine learning techniques to real-world problems in a production environment
  • Fluency in at Spark, Python, R

Bonus Knowledge and Skills:

  • Experience with feature design and clustering
  • Being familiar with MySQL, MongoDB
  • Previous research experience in Machine Learning specifically anomaly detection is a big plus
  • Fraud modelling experience is good to have
  • Publications in the machine learning space is preferred

Location: 343 Preston St, Ottawa, ON, K1S1N4
Job Type: Full-time and Permanent
Benefits: Comprehensive benefits package offered

Candidates should be legally authorized to work in Canada.

Senior Mobile Developer (iOS & Android)

Zighra is a sensor-based cybersecurity company, leveraging the latest technologies and world’s best talent to realize exciting new possibilities in invisible security. We’re producing user-centric, technology-driven solutions to establish new paradigms in human-machine interaction. We’re seeking to embed security into everything we do in our daily lives – including the way we drive, walk and talk. At Zighra – a Techstars startup, we’re creating something new, something connected, and something with global impact.

We’re a small team with big goals. As a lead mobile developer on the Zighra core engineering team, you will push the boundaries of AI, machine learning, sensors and UX. If you are looking to tackle big problems alongside some of the most dynamic, talented people you’ve ever worked with – Join us!

Your Role:

  • Be prepared to be a master of the deep corners of iOS/Android development
  • Technical analysis, develop deep understanding of low level Mobile APIs
  • Build robust and secure mobile SDK and APIs
  • Basically, you’ll make sure that security is invisible – literally

Minimum Required Knowledge, Skills, and Abilities:

  • 5 years of professional experience
  • Solid experience in mobile application development
  • Proficiency in software architecture and design
  • Extensive knowledge of REST API design
  • Excellent written and verbal communication skills
  • Deep knowledge of Objective-C

Bonus Knowledge and Skills:

  • Solid understanding of secure coding practices
  • Experience in encryption and secure communications
  • Machine learning and sensor dynamics

Location: 343 Preston St, Ottawa, ON, K1S1N4
Benefits: Comprehensive benefits package offered

Candidates should be legally authorized to work in Canada.

Deep Learning Intern

Zighra is rapidly building out our sensor analytics infrastructure. We are extending our platform to handle billions of new records each day, a petabyte scale repository for analytics, and mobile applications for adaptive behavioral authentication and fraud detection. This platform enables Zighra’s customers to analyze and attribute user behaviours across mobile banking and commerce transactions. We’ve already built out a sensor analytics platform that powers users across 70 countries and 700+ smart device types, to give us access to these large data sets and this is a great opportunity to join as a key member of the team and be at the centre of impactful action.

Job Duties and Responsibilities:

Your main objectives will be the design and implementation of a deep-learning based framework that uses mobile sensor data to perform user-authentication. Apart from the raw sensor data itself, certain high-level aspects related to the user like the walking patterns, phone handling, daily life events, etc. would help identify the real user of the device. Depending on the duration of the internship, you might additionally have the opportunity to gain a first-hand experience of deploying the framework you develop, on a device (mobile phone) and evaluate real-time performance. Zighra transforms mobile sensor data into human-relatable intelligence, and hence this project sits at the heart of its technology.

Desired skills and expertise:

  • Strong background in math and an analytical mindset
  • Passion for solving challenging deep learning problems
  • Ability to quickly qualitatively and quantitatively assess a problem
  • Ability to work productively with team members, identify and resolve tough issues in a collaborative manner
  • Basic knowledge of Python and Tensorflow

Bonus Knowledge and Skills:

  • Being familiar with MySQL, MongoDB
  • Previous research experience in Machine Learning specifically anomaly detection is a big plus

Location: 343 Preston St, Ottawa, ON, K1S1N4
Job Type: Internship