Manager, Retail Lending Analytics
5 months ago
Requisition ID: 198206
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
The Manager, Retail Lending Analytics is responsible for conducting data analytics and measurement to enable Product, Risk-Reward, and Portfolio Management business decisions with an impact on business success and/or customer satisfaction for Scotiabank’s Unsecured Lending portfolio growth and profitability.
**Is this role right for you? In this role, you will**:
- Manage end-to-end analytics to support business strategies and portfolio performance for unsecured lending products, including ULOC, Personal Loans, and Overdraft Protection.
- Support Scotia BNPL (Buy Now Pay Later) initiative and recommend data-driven performance and customer experience.
- Grow the customer base by creating more primary customers for the bank through data-driven analytics and strategic partnerships with Business Lines, Risk Management and Channels.
- Collaborate with Campaign, Marketing and Pricing teams to design customized offers for key campaigns to improve campaign click-through, response rate, and overall profitability
- Build propensity models and create new or effective ways of targeting customers to maximize the efficiency of acquisition campaign strategies.
- Effectively manage and prioritize multiple business initiatives, projects, and ad-hoc analyses with business stakeholders and/or external partners/consultants.
**Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have experience with**:
- At least 3 years of experience in data analytics for business portfolios, customer profiling, and product PnL in the Finance/Banking industry.
- At least 3 years of experience in big data analytics, including statistical analysis (e.g. AB test, time series), AI/ML models (e.g. ML classification, clustering, NLP).
- Ability to drive business strategy from inception to implementation, working with cross-functional teams.
- Proficient in coding with Python, SQL, SAS, and Spark.
- Working knowledge of Google Cloud (GCP, Airflow, Composer) would be an asset.
- Excellent verbal and written communication skills and executive presentation.
- Bachelor's Degree in Computer Science, Mathematics/Stats, Finance, Business Administration
- Master in Analytics, quantitative areas - preferred
**What's in it for you?**
- The opportunity to join a forward-thinking and collaborative team, surrounded by innovative thinkers.
- A rewarding career path with diverse opportunities for professional development
- Internal training to support your growth and enhance your skills.
- An inclusive working environment that encourages creativity, curiosity, and celebrates success
- Work in an Ecosystem where you’ll have access to group seating, offices, collaboration spaces, a cafeteria with different options daily, and more.
- Hybrid Work Environment
Location(s): Canada : Ontario : Toronto
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.
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