Full-Time
Senior Risk Analyst
Credit Risk
Posted on 5/3/2024
Cloud-based POS and payments platform
Senior
Toronto, ON, Canada
- Master's or Ph.D. degree in a quantitative field such as 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 sci-kit-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) are an asset.
- 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 behaviour, and other critical business metrics.
- Design, develop, implement and maintain cutting-edge machine learning algorithms and AI solutions to optimize business processes, risk assessment, fraud detection, and portfolio management.
- Collaborate with business leaders to understand their challenges and goals, providing data-driven insights and recommendations that drive strategic decision-making.
- Validate and assess the performance of developed models regularly, ensuring their accuracy, stability, and effectiveness over time.
- Create clear and concise data visualizations and reports to communicate complex findings to both technical and non-technical stakeholders.
Lightspeed offers a unified cloud-based point of sale and payments platform for retail, hospitality, and golf businesses, integrating multichannel sales, global payments, and supplier network connections, utilizing cloud technology and multichannel sales integration to simplify operations, streamline workflows, and enable businesses to scale and grow by providing exceptional customer experiences. The platform leverages cloud technology and multichannel sales integration to simplify operations, streamline workflows, and enable businesses to scale and grow.
Company Stage
IPO
Total Funding
$1.2B
Headquarters
Montreal, Canada
Founded
2005