Quantitative Analyst – Summer 2026 (Co-op/Internship) – 10 Weeks

Job Description

Application Deadline: 12/30/2025 Address: 320 S Canal Street Job Family Group: Data Analytics & Reporting The ideal candidate will be enrolled in a Master level program. Additional required skills for this role include: Coding in Python API to extract data/or automate Financial modeling/automation & machine learning Dashboard building Bayesian Stats Financial engineering 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.

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 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. Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness. Develops prediction systems and machine learning algorithms.

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. Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.

Exercises judgment to identify, diagnose, and solve problems within given rules. Works independently on a range of complex tasks, which may include unique situations.

Broader work or accountabilities may be assigned as needed. Qualifications: Foundational level of proficiency: Deep learning. Machine learning.

Trust, bias and ethics. Creative thinking. Critical thinking.

Intermediate level of proficiency: Mathematics, statistics & operations research. Big data. Data visualization.

Computational thinking and programming. Data wrangling. Data preprocessing.

EWJD3