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Business Analyst – Counterparty Credit
LinkedIn Recruiter Post
Business Analyst with 5 - 6 years in banking/financial services, strong in Counterparty Credit, data mapping, regulatory reporting, and SDLC. Toronto, ON, 4 days onsite.
About the role
- Senior Data Analyst driving Next Best Action strategies using advanced analytics for banking products. Collaborating to enhance customer engagement, onboarding, and financial performance in a fintech environment.
Responsibilities
- As a Senior Data Analyst on the Activation, Next Best Action team, you will be instrumental in leveraging data, advanced analytics, and modeling to drive critical business outcomes.
- You will provide key insights that drive Next Best Action strategies across the customer lifecycle, helping optimize onboarding, activation, engagement, and long-term customer growth for banking products.
- You will leverage data to personalize customer journeys, improve channel performance and profitability, and support effective credit risk management for our credit card portfolio.
- This role requires a blend of technical expertise, strategic thinking, and strong communication skills to translate complex data into actionable recommendations across various functional teams.
Requirements
- Minimum of 3-5 years of progressive experience in data analysis, sales and marketing analytics, financial modeling, or data mining, with a strong focus on extracting actionable insights from large datasets.
- Experience in digital banking, marketing, or credit risk is a significant asset.
- Post-Secondary education or equivalent experience in a quantitative field such as Statistics, Mathematics, Computer Science/Engineering, Operations Research, Economics, or Business Administration, coupled with a solid understanding of data analytics principles.
- Expert in SQL for querying large, complex datasets (BigQuery Standard SQL is a plus).
- Demonstrated experience with statistical software (e.g., SAS, R, Python) and/or programming/scripting languages.
- Hands-on experience building and deploying machine learning models for customer segmentation, propensity modeling, and personalization.
- Hands-on experience with digital analytics platforms (e.g., Google Analytics, Adobe Analytics) and media platforms (e.g., Google Marketing Platforms, Facebook)**Proficiency in developing reports and interactive dashboards using BI tools (e.g., Tableau, Looker).
- Strong understanding of database structures and schemas.
- Advanced MS Office skills (Excel, PowerPoint).
- Exceptional analytical, problem-solving, and critical thinking skills with the ability to synthesize complex information into clear, actionable recommendations.
- Solid understanding of digital marketing and eCommerce best practices.
- Proven ability to communicate complex analytical findings and strategic insights effectively, both verbally and in written presentations, to diverse technical and non-technical audiences.
- Strong organizational skills and attention to detail, ensuring accuracy and quality in all deliverables.
- Ability to manage multiple complex projects, prioritize effectively, and deliver high-quality results in a dynamic, fast-paced environment.
- Demonstrated personal accountability and a results-oriented approach.
Benefits
- 💰 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 and personal days
- 🖥 Virtual events to connect with your fellow colleagues
- 🎓 Professional development and comprehensive Career Development program
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