Job Title: Senior Manager, Machine Learning
Location: Toronto, ON, Hybrid- 2-3 days onsite 
Duration: 12 Months
Interview: 2 rounds virtual
Start date: Mid May


Job Description:

This role is a shared service supporting all LOBs
Area of focus- Pricing model/ discrectionary customer pricing solutoins 

Data Analytics & Reporting
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.
• Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
• Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
• Implements changes in response to shifting trends.
• Broader work or accountabilities may be assigned as needed.
• Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.

Qualifications

• Typically 7+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
• Strong programming skills in Python or SAS
• Proficiency in both SQL and Big data technologies (Hadoop, Spark)
• Experience working in cloud based modeling environment a plus (ie. AWS Sagemaker, AzureML, etc)
• Experience in automation and scheduling of data pipeline for end-to-end scoring solutions
• Experience developing customer discretionary pricing optimization models is an asset

 
 
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.