Job Overview
We are seeking a highly skilled FinTech Data Scientist to join our innovative team. This role involves leveraging advanced data analytics, machine learning, and AI techniques to drive strategic decision-making and develop cutting-edge financial technology solutions. The ideal candidate will have a strong background in big data, statistical modeling, and programming, with the ability to work with large datasets and complex algorithms to solve real-world financial problems.
Duties
- Develop and implement machine learning models using tools such as TensorFlow, R, Python, and SAS to analyze financial data and predict market trends.
- Design and optimize database architectures to efficiently store and retrieve large volumes of structured and unstructured data.
- Utilize big data technologies like Hadoop, Spark, and Bash (Unix shell) for data processing and analysis at scale.
- Conduct data mining activities to extract actionable insights from complex datasets.
- Apply natural language processing techniques to analyze textual financial information for sentiment analysis or fraud detection.
- Collaborate with cross-functional teams to integrate AI-driven solutions into existing fintech platforms.
- Perform statistical analysis and develop predictive models to support risk management, customer segmentation, and product development.
- Maintain up-to-date knowledge of emerging trends in analytics, AI, and fintech innovations to continuously improve analytical methodologies.
Experience
- Strong programming skills in Python, Java, C, VBA, and Bash (Unix shell).
- Hands-on experience with machine learning frameworks such as TensorFlow and Spark MLlib.
- Solid understanding of database design principles and experience working with SQL databases.
- Familiarity with big data tools like Hadoop, Spark, and data mining techniques.
- Experience applying AI methods including natural language processing for financial applications.
- Background in analytics within the fintech or financial services industry is highly desirable.
- Knowledge of SAS, R, or similar statistical software is preferred. This position offers an exciting opportunity to work at the forefront of financial technology innovation by applying advanced analytics and machine learning techniques to transform the industry landscape.
Pay: $2,400.00 per week
Work Location: Hybrid remote in Toronto, ON
