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Are you actively looking for a new opportunity? Or just checking the market? Well… you might just be in the right place!
Lightspeed is seeking an experienced and highly skilled Risk Analyst to join our Capital Risk Management team. As a Risk Analyst, you will play a crucial role in leveraging data-driven insights to enhance our business strategies, drive innovation, and optimize decision-making processes. You’ll be tasked to support in setting up various predictive models aimed at the growth of our capital lending product, analyze complex data to develop strategies to mitigate losses and provide actionable insights to support strategic decision-making and ensure regulatory compliance. You will collaborate with cross-functional teams to deliver actionable solutions that drive our organization’s growth and success.

What you’ll be responsible for:

• Data Analysis and Modelling:
• Conduct extensive data analysis using statistical and machine learning techniques to identify patterns, trends, and relationships within datasets.
• Develop predictive and prescriptive models to forecast market trends, fraud, delinquency, customer behavior, and other critical business metrics.
• Utilize various data sources and data preprocessing techniques to ensure data quality and integrity.
• Machine Learning and AI Solutions:
• Design, develop, implement and maintain cutting-edge machine learning algorithms and AI solutions to optimize business processes, risk assessment, fraud detection, and portfolio management.
• Explore and experiment with state-of-the-art machine learning techniques to improve accuracy and efficiency in financial analysis.
• Business Strategy and Insights:
• Collaborate with business leaders to understand their challenges and goals, providing data-driven insights and recommendations that drive strategic decision-making.
• Identify opportunities to leverage data to improve product offerings, customer experience, and operational efficiency.
• Deliver machine learning models for use cases that have high impact on real world business applications and fundamentally change business processes.
• Model Validation and Performance Monitoring:
• Validate and assess the performance of developed models regularly, ensuring their accuracy, stability, and effectiveness over time.
• Implement post-processing and monitoring systems to track model performance and detect deviations, providing timely feedback to maintain model integrity.
• Data Visualization and Communication:
• Create clear and concise data visualizations and reports to communicate complex findings to both technical and non-technical stakeholders.
• Translate analytical results into actionable business insights and present findings to senior management in a compelling and easily understandable manner.

Skills and Qualifications:

• Post Secondary education in Data Science, Statistics, Computer Science, or Mathematics.
• Proven experience as a Risk Analyst, preferably in the financial services sector, with a track record of successful project delivery and business impact.
• Experience in risk modelling software and tools (e.g., SAS, R, Python, Matlab) and machine learning using libraries such as NumPy, Pandas and scikit-learn.
• Solid understanding and practical experience with machine learning algorithms, statistical modelling, and data mining techniques (bonus points for experience with ML engineering and/or operations in a production setting).
• Familiarity with cloud platforms (we are using GCP) for scalable data processing and analysis, as well as, for machine learning model development and deployment.
• Strong knowledge of databases and SQL for data retrieval and manipulation.
• Experience with data visualization tools like Looker, Tableau or Power BI to create insightful reports and dashboards.
• Excellent problem-solving skills, analytical thinking, and the ability to thrive in a fast-paced, results-oriented environment.
• Effective communication and presentation skills, with the ability to communicate complex technical concepts to non-technical audiences.
• Relevant professional certifications (e.g., FRM) an asset.

What’s in it for you:

Come live the Lightspeed experience…

• Ability to do your job in a truly flexible environment;
• Genuine career opportunities in a company that’s creating new jobs everyday;
• Work in a team big enough for growth but lean enough to make a real impact.
• Opportunity to make a difference; help merchants grow their businesses and become more successful by creating or improving products and addressing customer feedback
• Development of very high traffic products, used at the global scale
• Opportunities to learn and expand your skill set
• Become a valued part of the diverse and inclusive Lightspeed family

… and enjoy a range of benefits that’ll keep you happy & healthy:

• Lightspeed RSU program (we are all owners)
• Unlimited paid time off policy
• Flexible working policy
• Health insurance
• Health and wellness benefits
• Possibility for transit fees to be covered
• Paid leave assistance for new parents
• Access to LinkedIn learning
• Volunteer day

LI-DS1

To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes.
Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace. Lightspeed welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
Where to from here?
Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you’re proud to come to every day. .
Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs.
Who we are:
Powering the businesses that are the backbone of the global economy, Lightspeed’s one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks.
Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries.
Lightspeed handles your information in accordance with our Applicant Privacy Statement.

• Data Analysis and Modelling:
• Conduct extensive data analysis using statistical and machine learning techniques to identify patterns, trends, and relationships within datasets.
• Develop predictive and prescriptive models to forecast market trends, fraud, delinquency, customer behavior, and other critical business metrics.
• Utilize various data sources and data preprocessing techniques to ensure data quality and integrity.
• Machine Learning and AI Solutions:
• Design, develop, implement and maintain cutting-edge machine learning algorithms and AI solutions to optimize business processes, risk assessment, fraud detection, and portfolio management.
• Explore and experiment with state-of-the-art machine learning techniques to improve accuracy and efficiency in financial analysis.
• Business Strategy and Insights:
• Collaborate with business leaders to understand their challenges and goals, providing data-driven insights and recommendations that drive strategic decision-making.
• Identify opportunities to leverage data to improve product offerings, customer experience, and operational efficiency.
• Deliver machine learning models for use cases that have high impact on real world business applications and fundamentally change business processes.
• Model Validation and Performance Monitoring:
• Validate and assess the performance of developed models regularly, ensuring their accuracy, stability, and effectiveness over time.
• Implement post-processing and monitoring systems to track model performance and detect deviations, providing timely feedback to maintain model integrity.
• Data Visualization and Communication:
• Create clear and concise data visualizations and reports to communicate complex findings to both technical and non-technical stakeholders.
• Translate analytical results into actionable business insights and present findings to senior management in a compelling and easily understandable manner