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About the Role

As part of the Group Risk Management (GRM) team, the Senior Analyst of Auto Finance Credit Strategy will analyze, design and implement solutions to enable real-time decision making for the Auto Finance business. The team leverages 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 machine learning and statistical techniques to build predictive behavioral models and credit strategies.

Responsibilities

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.
Manage projects end-to-end, from idea conception, solution design, stakeholder buy-in to implementation and monitoring.

Requirements

Bachelor’s degree in Computer Science, Statistics, Mathematics, Behavioral Economics, Engineering, or other quantitative field.
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.
Familiar with credit risk concepts.
Proficiency with data visualization tools such as Tableau.
Experience applying statistical concepts including linear and logistic models, gradient boosting/XGboost, supervised statistical learning, clustering, recommendation systems, times-series analysis, and 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.

Skills

Business Data Analysis
Communication
Credit Analysis
Critical Thinking
Database Queries
Data Visualization
Decision Making
Quantitative Methods
Risk Management
SQL
Python
R
Java
GitHub
Linux
Shell Scripting
Tableau
Apache Spark
Hadoop
Public Cloud technologies
JSON
Parquet
Spark
Hive

Location

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO
Toronto
Canada

Work Type

Hybrid
Full time

Experience Level

Senior Analyst
1+ years of experience

Education Level

Bachelor’s degree in Computer Science, Statistics, Mathematics, Behavioral Economics, Engineering, or other quantitative field.

Benefits

A comprehensive Total Rewards Program
Leaders who support your development through training and coaching
Work with a dynamic, collaborative team with ability to make a difference

About the Company

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.