Analytics & Data Science Manager (15-Month Contract)

Toronto

Equitable Bank

At Equitable Bank, we specialize in providing branchless financial services that meet the unique needs of all Canadians. Our range of mortgages, savings accounts and investment options are designed to offer the right solutions to match any...

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Join a Challenger
Being a traditional bank just isn’t our thing. We are big believers in innovating the banking experience because we believe Canadians deserve better options, and we challenge ourselves and our teams to creatively transform what’s possible in banking. Our team is made up of inquisitive and agile minds that find smarter ways of doing things. If you’re not afraid of taking on big challenges and redefining the future, you belong with us. You’ll get to work with people who will encourage you to reach new heights. We like to keep things fun, ask questions and learn together. We are a big (and growing!) family. Overall we serve more than 670,000 people across Canada through Equitable Bank, Canada's Challenger Bank™, and have been around for more than 50 years. Equitable Bank's wholly-owned subsidiary, Concentra Bank, supports credit unions across Canada that serve more than six million members. Together we have over $125 billion in combined assets under management and administration, with a clear mandate to drive change in Canadian banking to enrich people's lives. Our customers have named our EQ Bank digital platform (eqbank.ca) one of the top banks in Canada on the Forbes World's Best Banks list since 2021. 

The Work
The Analytics & Data Science Manager will support the Associate Director, Analytics & Insights in driving strategic analytics and applied data science projects. This role involves managing a team of analysts, executing advanced business analytics initiatives, and developing data science solutions for classification, regression, and unsupervised learning problems. The manager will leverage their expertise in data/business analytics, statistical modeling, and business intelligence to deliver actionable insights, optimize processes, and support the organization's strategic goals. The manager will lead projects from initiation through market execution, present findings to senior leadership, and collaborate with cross-functional teams.

The Core Responsibilities Of The Job:

  • Model Development & Roadmap (20%)
  • Develop and implement model development frameworks.
  • Research new methodologies for solving classification, regression, and segmentation problems.
  • Create scalable solutions and track performance metrics.
  • Maintain technical documentation and ensure compliance with banking regulations.
  • Enable data-driven decision-making and develop business use cases for product redesigns.

  • Analytical Analysis & Value Measurement (50%)
  • Gather data from internal systems and establish repeatable analysis processes.
  • Design A/B experiments and track impact from various initiatives.
  • Design and manage dashboards to track model performance and monitor trends.
  • Conduct ad-hoc analyses to support business decision-making.
  • Create business cases for necessary analytical software.
  • Implement automation for evaluating business strategies.

  • Leadership & Cross-Functional Collaboration (30%)
  • Lead and mentor the team, managing resource capacity and workload.
  • Provide guidance on problem-solving and experiment design.
  • Collaborate with various teams to deliver quality analysis, interpretation of findings, and insights.
  • Support marketing, product, customer experience, and contact center teams with strategic engagements and customer insights.
  • Engage with external vendors for data integration and explore new data pipelines.
  • Manage stakeholder needs and expectations with timely updates and reporting.
  • Provide oversight for internal and external data science projects.
  • Manage ad-hoc data requests from executives and support strategic business decisions.

Let's Talk About You!

  • Bachelor’s or master’s degree in business administration, Engineering, Math, Computer Science, or a related field.
  • 6+ years of experience in data science roles, preferably in financial services.
  • Proficiency in data scripting languages (e.g., SQL, Python, R) and statistical software (e.g., R, SAS, Matlab).
  • Strong business acumen and problem-solving skills.
  • Excellent communication skills, particularly in presenting to senior leadership.
  • Proficient in MS Office (Excel, Access, PowerPoint).
  • Knowledge of model risk management best practices.
  • Understanding of the mortgage/personal banking industry is an asset.
What we offer [For full-time permanent roles] 💰 Competitive discretionary bonus ✨ Market leading RRSP match program🩺  Medical, dental, vision, life, and disability benefits📝  Employee Share Purchase Plan👶🏽 Maternity/Parental top-up while you care for your little one🏝 Generous vacation policy, personal days and even a moving day 🖥  Virtual events to connect with your fellow colleagues🎓  Annual professional development allowance and a comprehensive Career Development program💛  A fulfilling opportunity to join one of the top FinTechs and help create a new kind of banking experience
The incumbent will be working hybrid and in office time will be spent working from Equitable Bank’s additional office space located at 351 King Street East, Toronto, ON.  Equitable Bank is deeply committed to inclusion. Our organization is stronger and our employees thrive when we honour and celebrate everyone’s diverse experiences and perspectives. In tandem with that commitment, we support and encourage our staff to grow not just in their career path, but personally as well. 
We commit to providing a barrier-free recruitment process and work environment for all applicants. Please let us know of any accommodations needed so that you can bring your best self to the application process and beyond. All candidates considered for hire must successfully pass a criminal background check and credit check to qualify for hire. While we appreciate your interest in applying, an Equitable recruiter will only contact leading candidates whose skills and qualifications closely match the requirements of the position.  We can’t wait to get to know you!
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: A/B testing Agile Banking Business Analytics Business Intelligence Classification Computer Science CX Data pipelines Engineering Excel Mathematics Matlab ML models Pipelines Python R Research SAS SQL Statistical modeling Statistics Unsupervised Learning

Perks/benefits: Career development Equity / stock options Health care Salary bonus Team events

Region: North America
Country: Canada

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