Job Title: Data Scientist - Financial Modeling and Azure Deployment
Location: Montreal
About Us:
At Hatch, we thrive on fast-paced challenges that push boundaries and drive innovation. We're not just looking for employees; we're seeking passionate individuals who crave the exhilaration of tackling complex problems head-on. If you're someone who thrives in dynamic environments, where every day presents a new opportunity to learn and grow, then you're exactly the kind of talent we're searching for. Join us, and together, let's revolutionize the industry and shape the future of technology within the lending sector.
Position Overview:
We are seeking a talented and driven Data Scientist to join our dynamic team. As a Data Scientist at Hatch, you will play a crucial role in developing advanced financial models, leveraging machine learning techniques to enhance decision-making processes, and deploying these models on Azure for real-time application.
Responsibilities
- Develop and implement machine learning algorithms and statistical models to analyze financial data, assess credit risk, and optimize loan approval processes.
- Collaborate with cross-functional teams including software engineers, data engineers, and business analysts to understand requirements and translate business objectives into technical solutions.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights in financial data sets, providing actionable recommendations for business improvement.
- Build predictive models for credit scoring, fraud detection, and customer segmentation, ensuring accuracy, reliability, and scalability.
- Perform model validation, testing, and optimization to enhance performance metrics and ensure regulatory compliance.
- Work closely with Azure cloud services to deploy machine learning models, automate workflows, and monitor model performance in production environments.
- Stay updated with industry trends, best practices, and emerging technologies in fintech, machine learning, and cloud computing, contributing to continuous innovation and growth.
Qualifications:
- Master's or BSc degree in Computer Science, Statistics, Mathematics, Economics, or related field.
- Proven experience (3 years) in developing and deploying machine learning models, particularly in the financial domain (e.g., credit scoring, risk assessment, fraud detection).
- Proficiency in programming languages such as Python, R, and SQL for data analysis, model development, and deployment.
- Strong understanding of machine learning algorithms (e.g., regression, classification, clustering), statistical techniques, and data preprocessing methods.
- Experience with cloud platforms, particularly Azure, for deploying and managing machine learning models in production environments.
- Excellent problem-solving skills, critical thinking abilities, and attention to detail.
- Effective communication skills with the ability to collaborate across teams, present findings, and explain complex technical concepts to non-technical stakeholders.
Join us at Hatch and be part of a dynamic team driving innovation in finance and technology!