Senior Data Scientist, Investment Distribution

BMO•Toronto, ON

1d•CA$82,800 - CA$154,800•Onsite

About The Position

A data science specialist position that combines knowledge of financial markets and investment sales with data and technology skills. 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 data technology to design solutions that deliver smarter business decisions. Data visualization and dashboard management expected to be part of day-to-day. The ideal candidate will be collaborative and sociable, and will work with data engineers to set up analytics, as well as investment distribution teams to implement 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. Provides specialized consulting, analytical and technical support. Exercises judgment to identify, diagnose, and solve problems within given rules. Works independently and regularly handles non-routine situations. Broader work or accountabilities may be assigned as needed.

Requirements

Mathematics, statistics & operations research.
Machine learning.
Trust, bias and ethics.
Creative thinking.
Critical thinking.
Big data.
Data visualization.
Computational thinking and programming.
Data wrangling.
Data preprocessing.
Creative reasoning.
Verbal & written communication skills.
Collaboration & team skills.
Analytical and problem solving skills.
Influence skills.
Data driven decision making.
Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
SQL, Python/SAS, and visualization (e.g., PowerBI) skills are essential.

Nice To Haves

Knowledge of asset management, sales, and/or financial institutions an asset.

Responsibilities

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.
Provides specialized consulting, analytical and technical support.
Exercises judgment to identify, diagnose, and solve problems within given rules.
Works independently and regularly handles non-routine situations.
Broader work or accountabilities may be assigned as needed.