BMO Financial Group is looking to leverage advanced analytical algorithms and technologies to mine and analyze large sets of structured and unstructured data to obtain insights, design and construct new processes for modeling data, develop predictive models, and leverage big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. The role aims to optimize, refine, and scale analysis into mature analytics solutions.
Requirements
- Mathematics, statistics & operations research.
- Deep learning.
- Machine learning.
- Big data.
- Data visualization.
- Computational thinking and programming.
- Data wrangling.
Responsibilities
- Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights.
- Designs and constructs new processes for modeling data.
- Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity.
- Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.
- Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
- Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
- Develops prediction systems and machine learning algorithms.
Other
- Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
- Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
- Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
- Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
- Typically 9+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
