AML Risk Specialist

2 weeks ago

Montreal, Canada Lightspeed Full time
p>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. li>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.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.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.Effective communication and presentation skills, with the ability to communicate complex technical concepts to non-technical audiences.

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