Analyst Rotationel en Risque – Jeune diplômé(e)
Montréal, QCBNP Paribas
Candidates need a degree in a quantitative field such as finance, economics, actuarial science or financial engineering. They should have skills in large datasets, time series, statistical analysis, regression and factor models, plus strong analytical ability and knowledge of quantitative risk models.
Risk Rotational Analyst – Graduate
Montréal, QCBNP Paribas
Candidates need a strong academic background, ideally a master's or advanced degree in a quantitative field, and strong analytical, communication and attention-to-detail skills. Experience with large data sets, statistics and a programming language such as SAS, R, Python or MATLAB is valued, and internships in financial services are preferred.
Microsoft Excel, Microsoft PowerPoint, Microsoft Word, SAS, R, Python
Développeur.euse Java Senior
Montréal, QCBNP Paribas
7+ YOECandidates need seven or more years of Java development experience, strong Spring Boot, microservices and messaging skills, and professional English. A relevant degree or equivalent experience is expected, along with production engineering and technical leadership abilities.
Java, Spring Boot, Kafka, Redis, Docker, Kubernetes
Model Validator, Compliance
Montréal, QCBNP Paribas
2+ YOECandidates need a Master's or PhD in a quantitative field and at least 2 years of experience validating or developing financial crime models. They also need statistics, AI/ML and predictive modelling knowledge, Python or R programming, and professional English.
Python, R
Analyste en validation de modèles, conformité
Montréal, QCBNP Paribas
2+ YOECandidates need a master's or doctorate in statistics, computer science, finance, economics or a related quantitative field, at least 2 years of model validation or development experience, and professional English. Python or R programming, AI/ML and predictive modelling knowledge, and strong written communication are also required.
Python, R