Job Summary
Job Description
What is the opportunity?
Join an inclusive, high performing team that is driving outsized results and impact through data!
We sit at the intersection of decades of data, high powered data infrastructure, continuous research, and interesting problems across multiple lines of business. We are in need of smart team players who are passionate about turning data into insights, and enjoy collaborating with partners to build and govern models that enable a multi-billion dollar loan portfolio.
Retail Risk Modeling specializes in leveraging large datasets (decades of data!!) to and build models (statistical & machine learning based) to profitably grow loan originations by balancing risk, pricing, operational efficiency, and customer impact. These models are implemented in industry leading systems that enable real-time decision making for millions of customers globally.
As a Manager on the team, you will be a key player in analyzing, implementing, and testing solutions to support real-time decision making for RBC’s lending business lines (credit cards, home equity financing, various unsecured loans, automotive financing, small business). You will have the opportunity to develop deep understanding of all of RBC's retail banking product offerings through advanced data analytics. You will play multiple roles for development of models, from data extraction to its implementation, through to governance and monitoring, while maintaining continuous interaction with key stakeholders within Personal and Commercial Banking.
What will you do?
Develop and maintain credit risk models that support the credit decisions related to RBC’s various lending business lines across all risk spectrums (from prime to subprime).
Extract, clean, validate, and analyze usable data from multiple data sources/providers to quantify borrower behavioral patterns and market dynamics.
Support the construction of prediction systems through the usage of machine learning tools and advanced statistics to select features, create and optimize classifiers or regression models.
Present result in a clear and concise manner for non-technical stakeholders and comprehensive model documentation.
Responsible for resolving issues raised by independent validation, Internal Audit and ongoing model monitoring.
Accountable for existing models in production and responsible for documentation related to existing models.
What do you need to succeed?
We want data scientists that own the end-to-end lifecycle of a model – you must be comfortable sourcing and exploring data, researching statistical and machine learning techniques, translating regulatory requirements into models, and curious about monitoring and continuous improvement of your models. Excellent communication skills are a must – you must be very comfortable taking high complex ideas and distilling them into simple terms. It is not enough just to be a model developer – success in the role means working with multiple stakeholders across the bank, and transforming their vision into outcomes that can be driven by data.
We are curious, we are driven, we work hard and we play hard. We love introducing people to risk modelling, and we are passionate about what we do.
Must-have:
Undergraduate degree in computer science, finance, mathematics, statistics, engineering, or an equivalent technical field
Strong SQL and Python coding skills to support automation and efficient end-to-end model scoring/implementation.
Experience with large datasets (ingestion, processing, merging and aggregation of data), with knowledge in SQL or big data/cloud technologies (Hadoop, PySpark, S3).
Understanding of advanced statistical methods and machine learning techniques for classification and regression tasks.
Experience in code sharing and version control solutions (GitHub).
Ability to work with UNIX command line.
Excellent English-language verbal and written communication skills
Nice to have:
Master degree in computer science, finance, mathematics, statistics, engineering, or an equivalent technical field
Domain expertise with any retail or small business banking products
Knowledge of other programming languages such as C++, R, Java, Scala, or SAS.
Knowledge of general credit risk management practices and regulations (from industry or from FRM curriculum, for example).
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.
Ability to make a difference and lasting impact
Work in a dynamic, collaborative, progressive, and high-performing team
Opportunities to do challenging work
Multiple career paths and progression opportunities
Job Skills
Additional Job Details
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Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Inclusion and Equal Opportunity Employment
At 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.
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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.
