Senior Security Analytics Engineer
Toronto or Remote (Canada)
Applications have closed
Wealthsimple
Wealthsimple is the simple way to grow your money like the world's most sophisticated investors. No-maintenance portfolios, expert investment advisers and low fees.
Wealthsimple is on a mission to help everyone achieve financial freedom, no matter who they are or how much they have. Using smart technology, Wealthsimple takes financial services that are often confusing, opaque and expensive and makes them simple, transparent, and low-cost. We're the company behind some of Canada's leading digital financial products, and are growing faster than ever.
Our team is reimagining what it means to manage your money. Smart, high-performing team members will challenge you to learn and grow every day. We value great work and great ideas — not ego. We're looking for talented people who love a fast-paced environment, and want to ship often and make an impact with groundbreaking ideas.
We’re a remote-first team and output is more important than facetime, so where you choose to work is up to you — as long as you have internet access, you can work from anywhere in Canada. Be a part of our Canadian success story and help shape the financial future of millions — join us! Read our Culture Manual and learn more about how we work.
At Wealthsimple, we are building products for a diverse world and we need a diverse team to do that successfully. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Wealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know.
About the Team
The Security Analytics team is reimagining security by creating innovative differentiated services that touch every part of Wealthsimple. Using a comprehensive approach of fusing security intelligence into all products, the group is focused on generating customer trust in Wealthsimple’s products and brand. The team practices adversarial thinking with an assumed breach mentality in order to build an incremental set of protection controls and uncover risks in our critical assets to protect valuable data and safeguard against insider risk. Working closely with designers, product managers and other engineering teams, the team is geared towards automation and agility.
A typical project starts with an idea for a potential opportunity, followed by rapid experimentation to validate the idea. The team works in short cycles, building first iterations in a scrappy way to maximize the rate of learning. If an experiment is successful, we explore how to scale the idea, integrate it into our product, and make it visible to the largest audience. Learnings and processes are extracted from each experiment to build infrastructure to improve the efficiency of these cycles - think A/B testing frameworks, systems to support client data control, subscribing to security updates, and other tools that make each experiment easier to implement than the last.
This work is highly visible internally and externally, providing immense opportunities to work with teams across Wealthsimple, such as Fraud, Reliability, Privacy, Compliance and Security in order to build useful services our customers would use to ultimately increase their overall confidence in the Wealthsimple brand.
Our team is reimagining what it means to manage your money. Smart, high-performing team members will challenge you to learn and grow every day. We value great work and great ideas — not ego. We're looking for talented people who love a fast-paced environment, and want to ship often and make an impact with groundbreaking ideas.
We’re a remote-first team and output is more important than facetime, so where you choose to work is up to you — as long as you have internet access, you can work from anywhere in Canada. Be a part of our Canadian success story and help shape the financial future of millions — join us! Read our Culture Manual and learn more about how we work.
At Wealthsimple, we are building products for a diverse world and we need a diverse team to do that successfully. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Wealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know.
About the Team
The Security Analytics team is reimagining security by creating innovative differentiated services that touch every part of Wealthsimple. Using a comprehensive approach of fusing security intelligence into all products, the group is focused on generating customer trust in Wealthsimple’s products and brand. The team practices adversarial thinking with an assumed breach mentality in order to build an incremental set of protection controls and uncover risks in our critical assets to protect valuable data and safeguard against insider risk. Working closely with designers, product managers and other engineering teams, the team is geared towards automation and agility.
A typical project starts with an idea for a potential opportunity, followed by rapid experimentation to validate the idea. The team works in short cycles, building first iterations in a scrappy way to maximize the rate of learning. If an experiment is successful, we explore how to scale the idea, integrate it into our product, and make it visible to the largest audience. Learnings and processes are extracted from each experiment to build infrastructure to improve the efficiency of these cycles - think A/B testing frameworks, systems to support client data control, subscribing to security updates, and other tools that make each experiment easier to implement than the last.
This work is highly visible internally and externally, providing immense opportunities to work with teams across Wealthsimple, such as Fraud, Reliability, Privacy, Compliance and Security in order to build useful services our customers would use to ultimately increase their overall confidence in the Wealthsimple brand.
In this role, you will have the opportunity to:
- Lead and create prevention and detection controls aligned to security analytics services
- Address core risk principles (confidentiality, integrity) in our critical assets and infrastructure
- Apply software engineering best practices for continuous improvement and integration
- Work with engineering teams to create and operationalize security analytics models
- Increase visibility of logging and access controls for proactive and dynamic detections
- Ensure security models are well tested, documented and maintained
- Support development of reports/dashboards/tools used by direct stakeholders
- Work as the primary developer on a project regularly communicating progress to stakeholders to ensure the quality and timeliness of work.
- Visible impact on our data and security culture and shape our best practices
- Participate in our hiring process and shape the growth of the team
We’re looking for someone who:
- Has experience with AWS, databases (SQL/NoSQL)
- Experience with data centric design and decisioning, creating data based services
- Experience with event driven architectures and streaming data sets
- Experience with data handling and data security
- Has the ability to solve problems creatively - working diligently to find the shortest path to shipping and validating hypotheses
- Passionate for mentoring and coaching others
Nice to have:
- Exposure to model building, anomaly detection, user behavior analysis
- Exposure to Information Security
Tags: A/B testing Architecture AWS Engineering NoSQL Privacy Security SQL Streaming Testing
Perks/benefits: Career development Startup environment
Regions:
Remote/Anywhere
North America
Country:
Canada
Job stats:
8
1
0
Categories:
Analyst Jobs
Engineering Jobs
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open MLOps Engineer jobs
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open Data Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Data Scientist II jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Principal Data Scientist jobs
- Open Junior Data Engineer jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Java-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs