Requisition ID: 211823
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Pricing Optimization team, within Canadian Banking Analytics, supports the revenue and volume growth for each of the product business line, including lending and deposits by providing advanced analytical pricing solutions, influencing Scotia's strategic decisions on consumer pricing (rates / fees), and other consumer behavior initiatives. The Manager, Pricing Analytics, is responsible for building analytical solutions that help set and execute our product prices – including, but not limited to

• Provide analytics support to lending portfolio in various use cases
• Feature engineering to clean, manipulate, and select features for lending deep dive analysis
• Develop machine learning models to support pricing optimization models
• Assist in designing optimization engines to recommend optimal pricing for a suite of lending products
• Develop and implement end-to-end pricing models production pipelines that are scalable, reusable, and secure.

Is this role right for you? In this role, you will:

Extract and cleanse large datasets in preparation for modelling or reporting:

• Integrate data across a variety of data stores / platforms (eg. DB2, SQL server, Hive in Hadoop, BQ in GCP) in a way that helps building advanced analytical models
• Leverage distributed computing tools (e.g. Spark, Hadoop) for analysis, data mining and modeling
• Explore data sourced from other environments including (but not limited to) the data lake; apply newly available data to pricing problems (ie. flow of funds, transcribed calls, network analytics data etc.)
• Internal and external data source evaluation

Design, build, and validate predictive models that explain the customer behavior over the product life cycle:

• Origination models such as response, utilization and attrition modeling
• Portfolio management models such as renewal models, re-pricing models, and campaign acquisition models
• Portfolio segmentation/customer sensitivity modeling
• Performing revenue optimization for a chosen portfolio. You need to understand business objectives, translate them into mathematical optimization problems, create profit function and recommend optimal pricing for each product
• Create and apply model and algorithm testing strategies to conduct multi-variate testing and A/B testing to measure effectiveness of models and make ongoing changes
• Model validation

Effectively communicate with business lines:

• Collaborate with business lines and other stakeholders and proactively identify opportunities to drive business value and influence pricing strategy
• Provide subject matter expertise on predictive modelling and statistical analysis to internal stakeholders
• Effectively communicate results of highly technical projects to business audiences

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:

• The candidate will be at the intersection of math/stats, computer science, business line, and communication.
• Excellent problem solving and analytical skills, communication skills, and a strong ability to translate complex technical information to a non-technical audience
• Customer focus; results focus and time-management skills to meet tight turnaround deadlines
• Strong programming skills, ideally in Python, PySpark, R
• Strong SQL skills for querying relational databases
• Experience in Hadoop Big Data ecosystem(Hive, Spark, Pig, Sqoop), Cloud computing (Microsoft Azure or Google cloud), common statistical and machine learning libraries in Python, R, Spark (Keras/Tensorflow, Sklearn)
• University degree in relevant STEM discipline (Computer Science, Electrical/computer/software engineering and mathematics) with internship experience
• Preferred masters or PhD in mathematics, statistics, or a related discipline
• Preferred 2 years experience in an analytics role.

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.
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.