Data Scientist

MCAP; Toronto; On-site; CAD 70,000 - 100,000; Full time

Job summary

A leading mortgage finance company in Toronto seeks a Data Scientist to analyze business problems using data. The ideal candidate will have strong experience in predictive analytics, machine learning, and data mining, with an undergraduate degree in a relevant STEM field. This full-time role offers competitive rewards and opportunities in a dynamic environment.

Benefits

Continuous learning and development

Inclusive work environment

Competitive total rewards offering

Qualifications

• 3+ years of financial services experience preferable.
• Hands-on experience with common Python and ML libraries.
• Solid SQL skills for querying relational databases.

Responsibilities

• Provide forward-looking data to support decision making.
• Conduct extensive data mining to uncover hidden patterns.
• Create and apply model testing strategies.

Skills

Data mining principles

Predictive analytics

Machine learning

Statistical analysis

Problem solving

Strong communication

Education

Undergraduate degree in a relevant STEM discipline

Tools

Python

SQL

Power BI

Excel

Job description

Data Scientist

MCAP at a Glance

Joining MCAP means you will be a part of our diverse workforce of highly talented individuals who are recognized for their expertise and success! At MCAP, your professional expertise, commitment to teamwork and passion for service excellence are recognized and rewarded with competitive total rewards offering, a career with continuous learning and development (formal & informal training), and exciting opportunities in a dynamic, entrepreneurial environment.

The Role

As a member of Analytics/AI team in our Data & Analytics (D n A), the person will be accountable for finding solutions to business problems using data and uncover hidden insights through extensive data mining as well as assist in the day-to-day data/reporting/dashboarding needs of business users.

• Provide forward looking data, information, and assessments in support of decision making
• Working as a trusted business partner, solve business problems through predictive and prescriptive analytics using varied analytical techniques and tools
• Conduct extensive data mining to uncover hidden patterns in data and give proactive and actionable insights to the business
• Collaborate with data engineering, data operations, and IT development teams to deploy models and algorithms in production across different channels and platforms
• Create and apply model and algorithm testing strategies to measure the effectiveness of models and make ongoing changes
• Support building real-time/batch data pipeline and deploy the model in a production environment
• Prepare detailed documentation to outline data sources, models, and algorithms used and developed
• Present results to business stakeholders and help implement real data-driven changes
• Manage the execution of analytical projects including timeliness, quality, and client value
• Support analytics leaders within the team in tasks as assigned with regards to defining and implementing analytics strategy and managing client relationships
• Manage ad hoc requests from business leaders/users with appropriate prioritization
• Ensure accuracy of data and deliverables and adherence to policies and processes

What You Bring To The Team

• 3+ years of financial services experience desirable
• Good knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources
• Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units
• Production experience with experimental design, statistical analysis, customer/marketing/risk/portfolio modeling (e.g., cross-sell, acquisition, probability of default, etc.)
• Experience working with and creating models, databases and dashboards using all relevant data to inform decisions
• Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes
• Strong understanding of machine learning and other AI concepts and their applications
• Strong problem solving, quantitative and analytical abilities
• Strong ability to plan and manage numerous processes, people, and projects simultaneously
• Excellent communication, collaboration, and delegation skills
• Undergraduate degree in a relevant STEM discipline (Computer Sciences, Electrical/Computer/Software Engineering, Mathematics or Statistics) or Finance/Economics required
• Hands on experience with common Python and ML libraries, e.g. pandas, scikit-learn, skforecast, etc.
• Solid SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
• SSIS, SSRS, Power BI and Linux
• Excel, Word, and PowerPoint

If this sounds like you and you are looking to be a part of one of Canada’s largest independent mortgage finance companies, then we want to hear from you!

Be A Part Of Something Great

MCAP is Canada’s largest independent Mortgage Finance company with over $150 billion in assets under management providing mortgage solutions for residential and commercial properties. For over 35 years, MCAP originates, trades, securitizes and services mortgages in offices across Canada. MCAP originates residential mortgages exclusively through the mortgage broker channel as we believe that a professional mortgage broker is a consumer's best option and MCAP actively promotes the services of mortgage brokers across the country. MCAP is also a leader in the Canadian residential construction lending market with over 25 years in the business. Our teams of dedicated professionals serve a variety of developer, construction and lender clients across Canada.

Position #: req2071

Employment Status: Permanent Full Time

Location:Toronto; Ontario

Number Of Openings:1

Department: Corporate Services

Internal Job Title: Data Scientist

The above information in this description has been designed to indicate the general nature and level of work performed by employees in the position. It is not designated to contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

MCAP provides equal opportunities for all applicants and is committed to fostering an inclusive, accessible environment, where all employees feel valued, respected and supported throughout the recruitment and employment process. If you require accommodation, we will work with you to meet your needs.