Analysis & Consulting - Data Scientist
Spectraforce
Toronto, Ontario
an hour ago
Job Description
Position Title: Advanced Analytics Data Scientist
Line of Business (LOB): GAM Business Analytics & Insights
Estimated Start Date: ASAP
Duration: 12 months with Possibility of Extension/ conversion
Working Hours: 9am – 5pm (37.5 hrs/wk)
Working Location: First Canadian Place – 43rd floor
Hybrid (2 (book hoteling through systems) Tuesdays a must- if on site for 4 days (will be assigned a desk)
Team Size: Direct team: 5
What does this team do: Distribution analytics for GAM supports the sales team
Project: BAU
Candidate Value Proposition
Exposure to new technologies, high level exposure with Sales & Leadership.
Job Description
Key Responsibilities
• 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
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 60.00/hr.
Line of Business (LOB): GAM Business Analytics & Insights
Estimated Start Date: ASAP
Duration: 12 months with Possibility of Extension/ conversion
Working Hours: 9am – 5pm (37.5 hrs/wk)
Working Location: First Canadian Place – 43rd floor
Hybrid (2 (book hoteling through systems) Tuesdays a must- if on site for 4 days (will be assigned a desk)
Team Size: Direct team: 5
What does this team do: Distribution analytics for GAM supports the sales team
Project: BAU
Exposure to new technologies, high level exposure with Sales & Leadership.
- 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.
- 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.
• 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.
• 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.
- Knowledge and experience in the investment industry or financial sales is a major asset.
- Previous banking experience ideal
Applicant Notices & Disclaimers
- For information on benefits, equal opportunity employment, and location-specific applicant notices, click here
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 60.00/hr.