Sr. Data Scientist (Advanced Analytics) - 88800

Position Title: Advanced Analytics Data Scientist

LOB: GAM Business Analytics & Insights

Duration: 12 months (Possibility of extension)

Location: Downtown Toronto – Hybrid - 2 days (book hoteling through systems) Tuesdays a must - if on site for 4 days (will be assigned a desk)

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.

Job Description

• A 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.
• Uses machine learning methods to create and test new sales strategies investment distribution teams.
• Work with data engineers and business analysts to create data pipeline and analytics tables.
• 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.
• Communicates abstract concepts in simple terms.
• Fosters strong internal and external networks and works with and across multiple teams to achieve business objectives.
• Anticipates trends and responds by implementing appropriate changes.
• Broader work or accountabilities may be assigned as needed.

MUST HAVE

• 4+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
• SQL, Python/R/SAS, and visualization (e.g., PowerBI) skills are essential.
• Data analytics and machine learning skills are essential.
• Collaboration & team skills; with a focus on cross-group collaboration.
• Ideal candidates will be personable with strong written/verbal communication skills in addition to technical skills.
• Able to manage ambiguity.
• Data driven decision making.

NICE TO HAVE

• Knowledge and experience in the investment industry or financial sales is a major asset.
• Previous banking experience ideal

Education/Certifications: CFA or advanced degree in relevant field preferred.

Interview Process:

Timeline: As soon as candidates have been identified

First Round – 30min Teams Meeting with HM and Department Head

Second Round – 30min Teams Meeting with HM and Department Head