Data Science Manager, Automotive Finance Credit Strategy

Job title: Data Science Manager, Automotive Finance Credit Strategy

Job description: What is the opportunity?

As a data specialist on the Portfolio Management & Credit Strategy team, you will analyze, design and implement solutions to enable real-time decision making for the Auto Finance business. The team specializes in leveraging large data sets to generate new insights and make fact based decisions on how to profitably grow loan originations by balancing risk, pricing, operational efficiency and customer impact. The role employs a range of leading-edge technologies and capabilities, applying machine learning and statistical techniques, to build predictive behavioral models and credit strategies.

The role is currently 100% remote and will transition to a Hybrid arrangement (1-3 office days per week) based out of the downtown Toronto office pending regional health guidance.

What will you do?

• Analyze data using empirical, statistical and machine learning techniques to identify problems and uncover actionable insights to improve financial outcomes.
• Design automated strategies to improve real-time adjudication and the quality and consistency of manual adjudication.
• Engage cross-functional stakeholders across Product, Sales, Operations and Risk Management.
• End-to-end project management, from idea conception, solution design, stakeholder buy-in to implementation and monitoring.

What do you need to succeed?

Must-have

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Behavioral Economics, Engineering, or other quantitative field of study.
• 1+ years of industry experience in data solutions and analytics.
• 1+ years of experience with programming and scripting languages such as SQL, Python, R and Java.
• Strong analytical, problem solving, communication and time management skills.
• Familiar with data extract, transform, and load processes with a variety of data types.
• Experience with GitHub functionality and code management best practices.
• Familiar with a Linux environment and shell scripting.

Nice-to-have

• Familiarity with a range of data tools.
• Proficiency with data visualization tools such as Tableau.
• Experience applying statistical concepts including but not limited to: linear and logistic models, gradient boosting/XGboost, supervised statistical learning, clustering, recommendation systems, times-series analysis, experimental design (A/B testing).
• Exposure to Apache Spark, Hadoop and Public Cloud technologies, data serialization (JSON, Parquet, etc).
• Experience with big data processing tools like Spark and Hive.

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team
• A world-class training program in financial services
• Flexible work/life balance options
• Opportunities to do challenging work

RBC requires as a condition of employment that all successful candidates in the United States and Canada be fully vaccinated against COVID-19 prior to their start date, and may require proof of the same. Reasonable accommodation is available where required by law.

RBC is committed to supporting flexible work arrangements when and where available. Details to be discussed with Hiring Manager.

RBC requires as a condition of employment that all successful candidates in the United States and Canada be fully vaccinated against COVID-19 prior to their start date, and may require proof of the same. Reasonable accommodation is available where required by law.

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JOB SUMMARY
City: Toronto
Address: 20 Bay Street
Work Hours/Week: 37.5
Work Environment: Your Home Office
Employment Type: Permanent
Career Level: Experienced Hire/Professional
Pay Type: Salaried
Required Travel (%): 0
Exempt/Non-Exempt: N/A
People Manager: No
Application Deadline: 02/04/2022
Platform: Group Risk Management
Req ID: 445177
Ad Code(s):

Click Here to Apply

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