Highly Skilled Risk Modelling Expert

1 week ago

Montreal, Quebec, Canada Lightspeed Full time

At Lightspeed, we're seeking a seasoned Risk Modelling Expert to join our Capital Risk Management team. With a proven track record of delivering successful projects and driving business impact, you'll play a crucial role in leveraging data-driven insights to enhance our business strategies and optimize decision-making processes.

Data Analysis and Modelling:

You will be responsible for conducting extensive data analysis using statistical and machine learning techniques to identify patterns, trends, and relationships within datasets. This includes developing 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.

In addition, you will collaborate with business leaders to understand their challenges and goals, providing data-driven insights and recommendations that drive strategic decision-making.

Model Validation and Performance Monitoring:

You will validate and assess the performance of developed models regularly, ensuring their accuracy, stability, and effectiveness over time. This includes implementing post-processing and monitoring systems to track model performance and detect deviations, providing timely feedback to maintain model integrity.

Education and Experience:

We are looking for a highly skilled professional with a Post Secondary education in Data Science, Statistics, Computer Science, or Mathematics. Your experience as a Risk Analyst, preferably in the financial services sector, should include a track record of successful project delivery and business impact.

Additionally, you should have 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.

Your salary will be around $120,000 - $150,000 per year, depending on your level of experience and qualifications.

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